from functools import wraps from sympy.core.basic import Basic from sympy.matrices.immutable import ImmutableMatrix from sympy.matrices.dense import Matrix, eye, zeros from sympy.core.containers import OrderedSet from sympy.physics.mechanics.actuator import ActuatorBase from sympy.physics.mechanics.body_base import BodyBase from sympy.physics.mechanics.functions import ( Lagrangian, _validate_coordinates, find_dynamicsymbols) from sympy.physics.mechanics.joint import Joint from sympy.physics.mechanics.kane import KanesMethod from sympy.physics.mechanics.lagrange import LagrangesMethod from sympy.physics.mechanics.loads import _parse_load, gravity from sympy.physics.mechanics.method import _Methods from sympy.physics.mechanics.particle import Particle from sympy.physics.vector import Point, ReferenceFrame, dynamicsymbols from sympy.utilities.iterables import iterable from sympy.utilities.misc import filldedent __all__ = ['SymbolicSystem', 'System'] def _reset_eom_method(method): """Decorator to reset the eom_method if a property is changed.""" @wraps(method) def wrapper(self, *args, **kwargs): self._eom_method = None return method(self, *args, **kwargs) return wrapper class System(_Methods): """Class to define a multibody system and form its equations of motion. Explanation =========== A ``System`` instance stores the different objects associated with a model, including bodies, joints, constraints, and other relevant information. With all the relationships between components defined, the ``System`` can be used to form the equations of motion using a backend, such as ``KanesMethod``. The ``System`` has been designed to be compatible with third-party libraries for greater flexibility and integration with other tools. Attributes ========== frame : ReferenceFrame Inertial reference frame of the system. fixed_point : Point A fixed point in the inertial reference frame. x : Vector Unit vector fixed in the inertial reference frame. y : Vector Unit vector fixed in the inertial reference frame. z : Vector Unit vector fixed in the inertial reference frame. q : ImmutableMatrix Matrix of all the generalized coordinates, i.e. the independent generalized coordinates stacked upon the dependent. u : ImmutableMatrix Matrix of all the generalized speeds, i.e. the independent generealized speeds stacked upon the dependent. q_ind : ImmutableMatrix Matrix of the independent generalized coordinates. q_dep : ImmutableMatrix Matrix of the dependent generalized coordinates. u_ind : ImmutableMatrix Matrix of the independent generalized speeds. u_dep : ImmutableMatrix Matrix of the dependent generalized speeds. u_aux : ImmutableMatrix Matrix of auxiliary generalized speeds. kdes : ImmutableMatrix Matrix of the kinematical differential equations as expressions equated to the zero matrix. bodies : tuple of BodyBase subclasses Tuple of all bodies that make up the system. joints : tuple of Joint Tuple of all joints that connect bodies in the system. loads : tuple of LoadBase subclasses Tuple of all loads that have been applied to the system. actuators : tuple of ActuatorBase subclasses Tuple of all actuators present in the system. holonomic_constraints : ImmutableMatrix Matrix with the holonomic constraints as expressions equated to the zero matrix. nonholonomic_constraints : ImmutableMatrix Matrix with the nonholonomic constraints as expressions equated to the zero matrix. velocity_constraints : ImmutableMatrix Matrix with the velocity constraints as expressions equated to the zero matrix. These are by default derived as the time derivatives of the holonomic constraints extended with the nonholonomic constraints. eom_method : subclass of KanesMethod or LagrangesMethod Backend for forming the equations of motion. Examples ======== In the example below a cart with a pendulum is created. The cart moves along the x axis of the rail and the pendulum rotates about the z axis. The length of the pendulum is ``l`` with the pendulum represented as a particle. To move the cart a time dependent force ``F`` is applied to the cart. We first need to import some functions and create some of our variables. >>> from sympy import symbols, simplify >>> from sympy.physics.mechanics import ( ... mechanics_printing, dynamicsymbols, RigidBody, Particle, ... ReferenceFrame, PrismaticJoint, PinJoint, System) >>> mechanics_printing(pretty_print=False) >>> g, l = symbols('g l') >>> F = dynamicsymbols('F') The next step is to create bodies. It is also useful to create a frame for locating the particle with respect to the pin joint later on, as a particle does not have a body-fixed frame. >>> rail = RigidBody('rail') >>> cart = RigidBody('cart') >>> bob = Particle('bob') >>> bob_frame = ReferenceFrame('bob_frame') Initialize the system, with the rail as the Newtonian reference. The body is also automatically added to the system. >>> system = System.from_newtonian(rail) >>> print(system.bodies[0]) rail Create the joints, while immediately also adding them to the system. >>> system.add_joints( ... PrismaticJoint('slider', rail, cart, joint_axis=rail.x), ... PinJoint('pin', cart, bob, joint_axis=cart.z, ... child_interframe=bob_frame, ... child_point=l * bob_frame.y) ... ) >>> system.joints (PrismaticJoint: slider parent: rail child: cart, PinJoint: pin parent: cart child: bob) While adding the joints, the associated generalized coordinates, generalized speeds, kinematic differential equations and bodies are also added to the system. >>> system.q Matrix([ [q_slider], [ q_pin]]) >>> system.u Matrix([ [u_slider], [ u_pin]]) >>> system.kdes Matrix([ [u_slider - q_slider'], [ u_pin - q_pin']]) >>> [body.name for body in system.bodies] ['rail', 'cart', 'bob'] With the kinematics established, we can now apply gravity and the cart force ``F``. >>> system.apply_uniform_gravity(-g * system.y) >>> system.add_loads((cart.masscenter, F * rail.x)) >>> system.loads ((rail_masscenter, - g*rail_mass*rail_frame.y), (cart_masscenter, - cart_mass*g*rail_frame.y), (bob_masscenter, - bob_mass*g*rail_frame.y), (cart_masscenter, F*rail_frame.x)) With the entire system defined, we can now form the equations of motion. Before forming the equations of motion, one can also run some checks that will try to identify some common errors. >>> system.validate_system() >>> system.form_eoms() Matrix([ [bob_mass*l*u_pin**2*sin(q_pin) - bob_mass*l*cos(q_pin)*u_pin' - (bob_mass + cart_mass)*u_slider' + F], [ -bob_mass*g*l*sin(q_pin) - bob_mass*l**2*u_pin' - bob_mass*l*cos(q_pin)*u_slider']]) >>> simplify(system.mass_matrix) Matrix([ [ bob_mass + cart_mass, bob_mass*l*cos(q_pin)], [bob_mass*l*cos(q_pin), bob_mass*l**2]]) >>> system.forcing Matrix([ [bob_mass*l*u_pin**2*sin(q_pin) + F], [ -bob_mass*g*l*sin(q_pin)]]) The complexity of the above example can be increased if we add a constraint to prevent the particle from moving in the horizontal (x) direction. This can be done by adding a holonomic constraint. After which we should also redefine what our (in)dependent generalized coordinates and speeds are. >>> system.add_holonomic_constraints( ... bob.masscenter.pos_from(rail.masscenter).dot(system.x) ... ) >>> system.q_ind = system.get_joint('pin').coordinates >>> system.q_dep = system.get_joint('slider').coordinates >>> system.u_ind = system.get_joint('pin').speeds >>> system.u_dep = system.get_joint('slider').speeds With the updated system the equations of motion can be formed again. >>> system.validate_system() >>> system.form_eoms() Matrix([[-bob_mass*g*l*sin(q_pin) - bob_mass*l**2*u_pin' - bob_mass*l*cos(q_pin)*u_slider' - l*(bob_mass*l*u_pin**2*sin(q_pin) - bob_mass*l*cos(q_pin)*u_pin' - (bob_mass + cart_mass)*u_slider')*cos(q_pin) - l*F*cos(q_pin)]]) >>> simplify(system.mass_matrix) Matrix([ [bob_mass*l**2*sin(q_pin)**2, -cart_mass*l*cos(q_pin)], [ l*cos(q_pin), 1]]) >>> simplify(system.forcing) Matrix([ [-l*(bob_mass*g*sin(q_pin) + bob_mass*l*u_pin**2*sin(2*q_pin)/2 + F*cos(q_pin))], [ l*u_pin**2*sin(q_pin)]]) """ def __init__(self, frame=None, fixed_point=None): """Initialize the system. Parameters ========== frame : ReferenceFrame, optional The inertial frame of the system. If none is supplied, a new frame will be created. fixed_point : Point, optional A fixed point in the inertial reference frame. If none is supplied, a new fixed_point will be created. """ if frame is None: frame = ReferenceFrame('inertial_frame') elif not isinstance(frame, ReferenceFrame): raise TypeError('Frame must be an instance of ReferenceFrame.') self._frame = frame if fixed_point is None: fixed_point = Point('inertial_point') elif not isinstance(fixed_point, Point): raise TypeError('Fixed point must be an instance of Point.') self._fixed_point = fixed_point self._fixed_point.set_vel(self._frame, 0) self._q_ind = ImmutableMatrix(1, 0, []).T self._q_dep = ImmutableMatrix(1, 0, []).T self._u_ind = ImmutableMatrix(1, 0, []).T self._u_dep = ImmutableMatrix(1, 0, []).T self._u_aux = ImmutableMatrix(1, 0, []).T self._kdes = ImmutableMatrix(1, 0, []).T self._hol_coneqs = ImmutableMatrix(1, 0, []).T self._nonhol_coneqs = ImmutableMatrix(1, 0, []).T self._vel_constrs = None self._bodies = [] self._joints = [] self._loads = [] self._actuators = [] self._eom_method = None @classmethod def from_newtonian(cls, newtonian): """Constructs the system with respect to a Newtonian body.""" if isinstance(newtonian, Particle): raise TypeError('A Particle has no frame so cannot act as ' 'the Newtonian.') system = cls(frame=newtonian.frame, fixed_point=newtonian.masscenter) system.add_bodies(newtonian) return system @property def fixed_point(self): """Fixed point in the inertial reference frame.""" return self._fixed_point @property def frame(self): """Inertial reference frame of the system.""" return self._frame @property def x(self): """Unit vector fixed in the inertial reference frame.""" return self._frame.x @property def y(self): """Unit vector fixed in the inertial reference frame.""" return self._frame.y @property def z(self): """Unit vector fixed in the inertial reference frame.""" return self._frame.z @property def bodies(self): """Tuple of all bodies that have been added to the system.""" return tuple(self._bodies) @bodies.setter @_reset_eom_method def bodies(self, bodies): bodies = self._objects_to_list(bodies) self._check_objects(bodies, [], BodyBase, 'Bodies', 'bodies') self._bodies = bodies @property def joints(self): """Tuple of all joints that have been added to the system.""" return tuple(self._joints) @joints.setter @_reset_eom_method def joints(self, joints): joints = self._objects_to_list(joints) self._check_objects(joints, [], Joint, 'Joints', 'joints') self._joints = [] self.add_joints(*joints) @property def loads(self): """Tuple of loads that have been applied on the system.""" return tuple(self._loads) @loads.setter @_reset_eom_method def loads(self, loads): loads = self._objects_to_list(loads) self._loads = [_parse_load(load) for load in loads] @property def actuators(self): """Tuple of actuators present in the system.""" return tuple(self._actuators) @actuators.setter @_reset_eom_method def actuators(self, actuators): actuators = self._objects_to_list(actuators) self._check_objects(actuators, [], ActuatorBase, 'Actuators', 'actuators') self._actuators = actuators @property def q(self): """Matrix of all the generalized coordinates with the independent stacked upon the dependent.""" return self._q_ind.col_join(self._q_dep) @property def u(self): """Matrix of all the generalized speeds with the independent stacked upon the dependent.""" return self._u_ind.col_join(self._u_dep) @property def q_ind(self): """Matrix of the independent generalized coordinates.""" return self._q_ind @q_ind.setter @_reset_eom_method def q_ind(self, q_ind): self._q_ind, self._q_dep = self._parse_coordinates( self._objects_to_list(q_ind), True, [], self.q_dep, 'coordinates') @property def q_dep(self): """Matrix of the dependent generalized coordinates.""" return self._q_dep @q_dep.setter @_reset_eom_method def q_dep(self, q_dep): self._q_ind, self._q_dep = self._parse_coordinates( self._objects_to_list(q_dep), False, self.q_ind, [], 'coordinates') @property def u_ind(self): """Matrix of the independent generalized speeds.""" return self._u_ind @u_ind.setter @_reset_eom_method def u_ind(self, u_ind): self._u_ind, self._u_dep = self._parse_coordinates( self._objects_to_list(u_ind), True, [], self.u_dep, 'speeds') @property def u_dep(self): """Matrix of the dependent generalized speeds.""" return self._u_dep @u_dep.setter @_reset_eom_method def u_dep(self, u_dep): self._u_ind, self._u_dep = self._parse_coordinates( self._objects_to_list(u_dep), False, self.u_ind, [], 'speeds') @property def u_aux(self): """Matrix of auxiliary generalized speeds.""" return self._u_aux @u_aux.setter @_reset_eom_method def u_aux(self, u_aux): self._u_aux = self._parse_coordinates( self._objects_to_list(u_aux), True, [], [], 'u_auxiliary')[0] @property def kdes(self): """Kinematical differential equations as expressions equated to the zero matrix. These equations describe the coupling between the generalized coordinates and the generalized speeds.""" return self._kdes @kdes.setter @_reset_eom_method def kdes(self, kdes): kdes = self._objects_to_list(kdes) self._kdes = self._parse_expressions( kdes, [], 'kinematic differential equations') @property def holonomic_constraints(self): """Matrix with the holonomic constraints as expressions equated to the zero matrix.""" return self._hol_coneqs @holonomic_constraints.setter @_reset_eom_method def holonomic_constraints(self, constraints): constraints = self._objects_to_list(constraints) self._hol_coneqs = self._parse_expressions( constraints, [], 'holonomic constraints') @property def nonholonomic_constraints(self): """Matrix with the nonholonomic constraints as expressions equated to the zero matrix.""" return self._nonhol_coneqs @nonholonomic_constraints.setter @_reset_eom_method def nonholonomic_constraints(self, constraints): constraints = self._objects_to_list(constraints) self._nonhol_coneqs = self._parse_expressions( constraints, [], 'nonholonomic constraints') @property def velocity_constraints(self): """Matrix with the velocity constraints as expressions equated to the zero matrix. The velocity constraints are by default derived from the holonomic and nonholonomic constraints unless they are explicitly set. """ if self._vel_constrs is None: return self.holonomic_constraints.diff(dynamicsymbols._t).col_join( self.nonholonomic_constraints) return self._vel_constrs @velocity_constraints.setter @_reset_eom_method def velocity_constraints(self, constraints): if constraints is None: self._vel_constrs = None return constraints = self._objects_to_list(constraints) self._vel_constrs = self._parse_expressions( constraints, [], 'velocity constraints') @property def eom_method(self): """Backend for forming the equations of motion.""" return self._eom_method @staticmethod def _objects_to_list(lst): """Helper to convert passed objects to a list.""" if not iterable(lst): # Only one object return [lst] return list(lst[:]) # converts Matrix and tuple to flattened list @staticmethod def _check_objects(objects, obj_lst, expected_type, obj_name, type_name): """Helper to check the objects that are being added to the system. Explanation =========== This method checks that the objects that are being added to the system are of the correct type and have not already been added. If any of the objects are not of the correct type or have already been added, then an error is raised. Parameters ========== objects : iterable The objects that would be added to the system. obj_lst : list The list of objects that are already in the system. expected_type : type The type that the objects should be. obj_name : str The name of the category of objects. This string is used to formulate the error message for the user. type_name : str The name of the type that the objects should be. This string is used to formulate the error message for the user. """ seen = set(obj_lst) duplicates = set() wrong_types = set() for obj in objects: if not isinstance(obj, expected_type): wrong_types.add(obj) if obj in seen: duplicates.add(obj) else: seen.add(obj) if wrong_types: raise TypeError(f'{obj_name} {wrong_types} are not {type_name}.') if duplicates: raise ValueError(f'{obj_name} {duplicates} have already been added ' f'to the system.') def _parse_coordinates(self, new_coords, independent, old_coords_ind, old_coords_dep, coord_type='coordinates'): """Helper to parse coordinates and speeds.""" # Construct lists of the independent and dependent coordinates coords_ind, coords_dep = old_coords_ind[:], old_coords_dep[:] if not iterable(independent): independent = [independent] * len(new_coords) for coord, indep in zip(new_coords, independent): if indep: coords_ind.append(coord) else: coords_dep.append(coord) # Check types and duplicates current = {'coordinates': self.q_ind[:] + self.q_dep[:], 'speeds': self.u_ind[:] + self.u_dep[:], 'u_auxiliary': self._u_aux[:], coord_type: coords_ind + coords_dep} _validate_coordinates(**current) return (ImmutableMatrix(1, len(coords_ind), coords_ind).T, ImmutableMatrix(1, len(coords_dep), coords_dep).T) @staticmethod def _parse_expressions(new_expressions, old_expressions, name, check_negatives=False): """Helper to parse expressions like constraints.""" old_expressions = old_expressions[:] new_expressions = list(new_expressions) # Converts a possible tuple if check_negatives: check_exprs = old_expressions + [-expr for expr in old_expressions] else: check_exprs = old_expressions System._check_objects(new_expressions, check_exprs, Basic, name, 'expressions') for expr in new_expressions: if expr == 0: raise ValueError(f'Parsed {name} are zero.') return ImmutableMatrix(1, len(old_expressions) + len(new_expressions), old_expressions + new_expressions).T @_reset_eom_method def add_coordinates(self, *coordinates, independent=True): """Add generalized coordinate(s) to the system. Parameters ========== *coordinates : dynamicsymbols One or more generalized coordinates to be added to the system. independent : bool or list of bool, optional Boolean whether a coordinate is dependent or independent. The default is True, so the coordinates are added as independent by default. """ self._q_ind, self._q_dep = self._parse_coordinates( coordinates, independent, self.q_ind, self.q_dep, 'coordinates') @_reset_eom_method def add_speeds(self, *speeds, independent=True): """Add generalized speed(s) to the system. Parameters ========== *speeds : dynamicsymbols One or more generalized speeds to be added to the system. independent : bool or list of bool, optional Boolean whether a speed is dependent or independent. The default is True, so the speeds are added as independent by default. """ self._u_ind, self._u_dep = self._parse_coordinates( speeds, independent, self.u_ind, self.u_dep, 'speeds') @_reset_eom_method def add_auxiliary_speeds(self, *speeds): """Add auxiliary speed(s) to the system. Parameters ========== *speeds : dynamicsymbols One or more auxiliary speeds to be added to the system. """ self._u_aux = self._parse_coordinates( speeds, True, self._u_aux, [], 'u_auxiliary')[0] @_reset_eom_method def add_kdes(self, *kdes): """Add kinematic differential equation(s) to the system. Parameters ========== *kdes : Expr One or more kinematic differential equations. """ self._kdes = self._parse_expressions( kdes, self.kdes, 'kinematic differential equations', check_negatives=True) @_reset_eom_method def add_holonomic_constraints(self, *constraints): """Add holonomic constraint(s) to the system. Parameters ========== *constraints : Expr One or more holonomic constraints, which are expressions that should be zero. """ self._hol_coneqs = self._parse_expressions( constraints, self._hol_coneqs, 'holonomic constraints', check_negatives=True) @_reset_eom_method def add_nonholonomic_constraints(self, *constraints): """Add nonholonomic constraint(s) to the system. Parameters ========== *constraints : Expr One or more nonholonomic constraints, which are expressions that should be zero. """ self._nonhol_coneqs = self._parse_expressions( constraints, self._nonhol_coneqs, 'nonholonomic constraints', check_negatives=True) @_reset_eom_method def add_bodies(self, *bodies): """Add body(ies) to the system. Parameters ========== bodies : Particle or RigidBody One or more bodies. """ self._check_objects(bodies, self.bodies, BodyBase, 'Bodies', 'bodies') self._bodies.extend(bodies) @_reset_eom_method def add_loads(self, *loads): """Add load(s) to the system. Parameters ========== *loads : Force or Torque One or more loads. """ loads = [_parse_load(load) for load in loads] # Checks the loads self._loads.extend(loads) @_reset_eom_method def apply_uniform_gravity(self, acceleration): """Apply uniform gravity to all bodies in the system by adding loads. Parameters ========== acceleration : Vector The acceleration due to gravity. """ self.add_loads(*gravity(acceleration, *self.bodies)) @_reset_eom_method def add_actuators(self, *actuators): """Add actuator(s) to the system. Parameters ========== *actuators : subclass of ActuatorBase One or more actuators. """ self._check_objects(actuators, self.actuators, ActuatorBase, 'Actuators', 'actuators') self._actuators.extend(actuators) @_reset_eom_method def add_joints(self, *joints): """Add joint(s) to the system. Explanation =========== This methods adds one or more joints to the system including its associated objects, i.e. generalized coordinates, generalized speeds, kinematic differential equations and the bodies. Parameters ========== *joints : subclass of Joint One or more joints. Notes ===== For the generalized coordinates, generalized speeds and bodies it is checked whether they are already known by the system instance. If they are, then they are not added. The kinematic differential equations are however always added to the system, so you should not also manually add those on beforehand. """ self._check_objects(joints, self.joints, Joint, 'Joints', 'joints') self._joints.extend(joints) coordinates, speeds, kdes, bodies = (OrderedSet() for _ in range(4)) for joint in joints: coordinates.update(joint.coordinates) speeds.update(joint.speeds) kdes.update(joint.kdes) bodies.update((joint.parent, joint.child)) coordinates = coordinates.difference(self.q) speeds = speeds.difference(self.u) kdes = kdes.difference(self.kdes[:] + (-self.kdes)[:]) bodies = bodies.difference(self.bodies) self.add_coordinates(*tuple(coordinates)) self.add_speeds(*tuple(speeds)) self.add_kdes(*(kde for kde in tuple(kdes) if not kde == 0)) self.add_bodies(*tuple(bodies)) def get_body(self, name): """Retrieve a body from the system by name. Parameters ========== name : str The name of the body to retrieve. Returns ======= RigidBody or Particle The body with the given name, or None if no such body exists. """ for body in self._bodies: if body.name == name: return body def get_joint(self, name): """Retrieve a joint from the system by name. Parameters ========== name : str The name of the joint to retrieve. Returns ======= subclass of Joint The joint with the given name, or None if no such joint exists. """ for joint in self._joints: if joint.name == name: return joint def _form_eoms(self): return self.form_eoms() def form_eoms(self, eom_method=KanesMethod, **kwargs): """Form the equations of motion of the system. Parameters ========== eom_method : subclass of KanesMethod or LagrangesMethod Backend class to be used for forming the equations of motion. The default is ``KanesMethod``. Returns ======== ImmutableMatrix Vector of equations of motions. Examples ======== This is a simple example for a one degree of freedom translational spring-mass-damper. >>> from sympy import S, symbols >>> from sympy.physics.mechanics import ( ... LagrangesMethod, dynamicsymbols, PrismaticJoint, Particle, ... RigidBody, System) >>> q = dynamicsymbols('q') >>> qd = dynamicsymbols('q', 1) >>> m, k, b = symbols('m k b') >>> wall = RigidBody('W') >>> system = System.from_newtonian(wall) >>> bob = Particle('P', mass=m) >>> bob.potential_energy = S.Half * k * q**2 >>> system.add_joints(PrismaticJoint('J', wall, bob, q, qd)) >>> system.add_loads((bob.masscenter, b * qd * system.x)) >>> system.form_eoms(LagrangesMethod) Matrix([[-b*Derivative(q(t), t) + k*q(t) + m*Derivative(q(t), (t, 2))]]) We can also solve for the states using the 'rhs' method. >>> system.rhs() Matrix([ [ Derivative(q(t), t)], [(b*Derivative(q(t), t) - k*q(t))/m]]) """ # KanesMethod does not accept empty iterables loads = self.loads + tuple( load for act in self.actuators for load in act.to_loads()) loads = loads if loads else None if issubclass(eom_method, KanesMethod): disallowed_kwargs = { "frame", "q_ind", "u_ind", "kd_eqs", "q_dependent", "u_dependent", "u_auxiliary", "configuration_constraints", "velocity_constraints", "forcelist", "bodies"} wrong_kwargs = disallowed_kwargs.intersection(kwargs) if wrong_kwargs: raise ValueError( f"The following keyword arguments are not allowed to be " f"overwritten in {eom_method.__name__}: {wrong_kwargs}.") kwargs = {"frame": self.frame, "q_ind": self.q_ind, "u_ind": self.u_ind, "kd_eqs": self.kdes, "q_dependent": self.q_dep, "u_dependent": self.u_dep, "configuration_constraints": self.holonomic_constraints, "velocity_constraints": self.velocity_constraints, "u_auxiliary": self.u_aux, "forcelist": loads, "bodies": self.bodies, "explicit_kinematics": False, **kwargs} self._eom_method = eom_method(**kwargs) elif issubclass(eom_method, LagrangesMethod): disallowed_kwargs = { "frame", "qs", "forcelist", "bodies", "hol_coneqs", "nonhol_coneqs", "Lagrangian"} wrong_kwargs = disallowed_kwargs.intersection(kwargs) if wrong_kwargs: raise ValueError( f"The following keyword arguments are not allowed to be " f"overwritten in {eom_method.__name__}: {wrong_kwargs}.") kwargs = {"frame": self.frame, "qs": self.q, "forcelist": loads, "bodies": self.bodies, "hol_coneqs": self.holonomic_constraints, "nonhol_coneqs": self.nonholonomic_constraints, **kwargs} if "Lagrangian" not in kwargs: kwargs["Lagrangian"] = Lagrangian(kwargs["frame"], *kwargs["bodies"]) self._eom_method = eom_method(**kwargs) else: raise NotImplementedError(f'{eom_method} has not been implemented.') return self.eom_method._form_eoms() def rhs(self, inv_method=None): """Compute the equations of motion in the explicit form. Parameters ========== inv_method : str The specific sympy inverse matrix calculation method to use. For a list of valid methods, see :meth:`~sympy.matrices.matrixbase.MatrixBase.inv` Returns ======== ImmutableMatrix Equations of motion in the explicit form. See Also ======== sympy.physics.mechanics.kane.KanesMethod.rhs: KanesMethod's ``rhs`` function. sympy.physics.mechanics.lagrange.LagrangesMethod.rhs: LagrangesMethod's ``rhs`` function. """ return self.eom_method.rhs(inv_method=inv_method) @property def mass_matrix(self): r"""The mass matrix of the system. Explanation =========== The mass matrix $M_d$ and the forcing vector $f_d$ of a system describe the system's dynamics according to the following equations: .. math:: M_d \dot{u} = f_d where $\dot{u}$ is the time derivative of the generalized speeds. """ return self.eom_method.mass_matrix @property def mass_matrix_full(self): r"""The mass matrix of the system, augmented by the kinematic differential equations in explicit or implicit form. Explanation =========== The full mass matrix $M_m$ and the full forcing vector $f_m$ of a system describe the dynamics and kinematics according to the following equation: .. math:: M_m \dot{x} = f_m where $x$ is the state vector stacking $q$ and $u$. """ return self.eom_method.mass_matrix_full @property def forcing(self): """The forcing vector of the system.""" return self.eom_method.forcing @property def forcing_full(self): """The forcing vector of the system, augmented by the kinematic differential equations in explicit or implicit form.""" return self.eom_method.forcing_full def validate_system(self, eom_method=KanesMethod, check_duplicates=False): """Validates the system using some basic checks. Explanation =========== This method validates the system based on the following checks: - The number of dependent generalized coordinates should equal the number of holonomic constraints. - All generalized coordinates defined by the joints should also be known to the system. - If ``KanesMethod`` is used as a ``eom_method``: - All generalized speeds and kinematic differential equations defined by the joints should also be known to the system. - The number of dependent generalized speeds should equal the number of velocity constraints. - The number of generalized coordinates should be less than or equal to the number of generalized speeds. - The number of generalized coordinates should equal the number of kinematic differential equations. - If ``LagrangesMethod`` is used as ``eom_method``: - There should not be any generalized speeds that are not derivatives of the generalized coordinates (this includes the generalized speeds defined by the joints). Parameters ========== eom_method : subclass of KanesMethod or LagrangesMethod Backend class that will be used for forming the equations of motion. There are different checks for the different backends. The default is ``KanesMethod``. check_duplicates : bool Boolean whether the system should be checked for duplicate definitions. The default is False, because duplicates are already checked when adding objects to the system. Notes ===== This method is not guaranteed to be backwards compatible as it may improve over time. The method can become both more and less strict in certain areas. However a well-defined system should always pass all these tests. """ msgs = [] # Save some data in variables n_hc = self.holonomic_constraints.shape[0] n_vc = self.velocity_constraints.shape[0] n_q_dep, n_u_dep = self.q_dep.shape[0], self.u_dep.shape[0] q_set, u_set = set(self.q), set(self.u) n_q, n_u = len(q_set), len(u_set) # Check number of holonomic constraints if n_q_dep != n_hc: msgs.append(filldedent(f""" The number of dependent generalized coordinates {n_q_dep} should be equal to the number of holonomic constraints {n_hc}.""")) # Check if all joint coordinates and speeds are present missing_q = set() for joint in self.joints: missing_q.update(set(joint.coordinates).difference(q_set)) if missing_q: msgs.append(filldedent(f""" The generalized coordinates {missing_q} used in joints are not added to the system.""")) # Method dependent checks if issubclass(eom_method, KanesMethod): n_kdes = len(self.kdes) missing_kdes, missing_u = set(), set() for joint in self.joints: missing_u.update(set(joint.speeds).difference(u_set)) missing_kdes.update(set(joint.kdes).difference( self.kdes[:] + (-self.kdes)[:])) if missing_u: msgs.append(filldedent(f""" The generalized speeds {missing_u} used in joints are not added to the system.""")) if missing_kdes: msgs.append(filldedent(f""" The kinematic differential equations {missing_kdes} used in joints are not added to the system.""")) if n_u_dep != n_vc: msgs.append(filldedent(f""" The number of dependent generalized speeds {n_u_dep} should be equal to the number of velocity constraints {n_vc}.""")) if n_q > n_u: msgs.append(filldedent(f""" The number of generalized coordinates {n_q} should be less than or equal to the number of generalized speeds {n_u}.""")) if n_u != n_kdes: msgs.append(filldedent(f""" The number of generalized speeds {n_u} should be equal to the number of kinematic differential equations {n_kdes}.""")) elif issubclass(eom_method, LagrangesMethod): not_qdots = set(self.u).difference(self.q.diff(dynamicsymbols._t)) for joint in self.joints: not_qdots.update(set( joint.speeds).difference(self.q.diff(dynamicsymbols._t))) if not_qdots: msgs.append(filldedent(f""" The generalized speeds {not_qdots} are not supported by this method. Only derivatives of the generalized coordinates are supported. If these symbols are used in your expressions, then this will result in wrong equations of motion.""")) if self.u_aux: msgs.append(filldedent(f""" This method does not support auxiliary speeds. If these symbols are used in your expressions, then this will result in wrong equations of motion. The auxiliary speeds are {self.u_aux}.""")) else: raise NotImplementedError(f'{eom_method} has not been implemented.') if check_duplicates: # Should be redundant duplicates_to_check = [('generalized coordinates', self.q), ('generalized speeds', self.u), ('auxiliary speeds', self.u_aux), ('bodies', self.bodies), ('joints', self.joints)] for name, lst in duplicates_to_check: seen = set() duplicates = {x for x in lst if x in seen or seen.add(x)} if duplicates: msgs.append(filldedent(f""" The {name} {duplicates} exist multiple times within the system.""")) if msgs: raise ValueError('\n'.join(msgs)) class SymbolicSystem: """SymbolicSystem is a class that contains all the information about a system in a symbolic format such as the equations of motions and the bodies and loads in the system. There are three ways that the equations of motion can be described for Symbolic System: [1] Explicit form where the kinematics and dynamics are combined x' = F_1(x, t, r, p) [2] Implicit form where the kinematics and dynamics are combined M_2(x, p) x' = F_2(x, t, r, p) [3] Implicit form where the kinematics and dynamics are separate M_3(q, p) u' = F_3(q, u, t, r, p) q' = G(q, u, t, r, p) where x : states, e.g. [q, u] t : time r : specified (exogenous) inputs p : constants q : generalized coordinates u : generalized speeds F_1 : right hand side of the combined equations in explicit form F_2 : right hand side of the combined equations in implicit form F_3 : right hand side of the dynamical equations in implicit form M_2 : mass matrix of the combined equations in implicit form M_3 : mass matrix of the dynamical equations in implicit form G : right hand side of the kinematical differential equations Parameters ========== coord_states : ordered iterable of functions of time This input will either be a collection of the coordinates or states of the system depending on whether or not the speeds are also given. If speeds are specified this input will be assumed to be the coordinates otherwise this input will be assumed to be the states. right_hand_side : Matrix This variable is the right hand side of the equations of motion in any of the forms. The specific form will be assumed depending on whether a mass matrix or coordinate derivatives are given. speeds : ordered iterable of functions of time, optional This is a collection of the generalized speeds of the system. If given it will be assumed that the first argument (coord_states) will represent the generalized coordinates of the system. mass_matrix : Matrix, optional The matrix of the implicit forms of the equations of motion (forms [2] and [3]). The distinction between the forms is determined by whether or not the coordinate derivatives are passed in. If they are given form [3] will be assumed otherwise form [2] is assumed. coordinate_derivatives : Matrix, optional The right hand side of the kinematical equations in explicit form. If given it will be assumed that the equations of motion are being entered in form [3]. alg_con : Iterable, optional The indexes of the rows in the equations of motion that contain algebraic constraints instead of differential equations. If the equations are input in form [3], it will be assumed the indexes are referencing the mass_matrix/right_hand_side combination and not the coordinate_derivatives. output_eqns : Dictionary, optional Any output equations that are desired to be tracked are stored in a dictionary where the key corresponds to the name given for the specific equation and the value is the equation itself in symbolic form coord_idxs : Iterable, optional If coord_states corresponds to the states rather than the coordinates this variable will tell SymbolicSystem which indexes of the states correspond to generalized coordinates. speed_idxs : Iterable, optional If coord_states corresponds to the states rather than the coordinates this variable will tell SymbolicSystem which indexes of the states correspond to generalized speeds. bodies : iterable of Body/Rigidbody objects, optional Iterable containing the bodies of the system loads : iterable of load instances (described below), optional Iterable containing the loads of the system where forces are given by (point of application, force vector) and torques are given by (reference frame acting upon, torque vector). Ex [(point, force), (ref_frame, torque)] Attributes ========== coordinates : Matrix, shape(n, 1) This is a matrix containing the generalized coordinates of the system speeds : Matrix, shape(m, 1) This is a matrix containing the generalized speeds of the system states : Matrix, shape(o, 1) This is a matrix containing the state variables of the system alg_con : List This list contains the indices of the algebraic constraints in the combined equations of motion. The presence of these constraints requires that a DAE solver be used instead of an ODE solver. If the system is given in form [3] the alg_con variable will be adjusted such that it is a representation of the combined kinematics and dynamics thus make sure it always matches the mass matrix entered. dyn_implicit_mat : Matrix, shape(m, m) This is the M matrix in form [3] of the equations of motion (the mass matrix or generalized inertia matrix of the dynamical equations of motion in implicit form). dyn_implicit_rhs : Matrix, shape(m, 1) This is the F vector in form [3] of the equations of motion (the right hand side of the dynamical equations of motion in implicit form). comb_implicit_mat : Matrix, shape(o, o) This is the M matrix in form [2] of the equations of motion. This matrix contains a block diagonal structure where the top left block (the first rows) represent the matrix in the implicit form of the kinematical equations and the bottom right block (the last rows) represent the matrix in the implicit form of the dynamical equations. comb_implicit_rhs : Matrix, shape(o, 1) This is the F vector in form [2] of the equations of motion. The top part of the vector represents the right hand side of the implicit form of the kinemaical equations and the bottom of the vector represents the right hand side of the implicit form of the dynamical equations of motion. comb_explicit_rhs : Matrix, shape(o, 1) This vector represents the right hand side of the combined equations of motion in explicit form (form [1] from above). kin_explicit_rhs : Matrix, shape(m, 1) This is the right hand side of the explicit form of the kinematical equations of motion as can be seen in form [3] (the G matrix). output_eqns : Dictionary If output equations were given they are stored in a dictionary where the key corresponds to the name given for the specific equation and the value is the equation itself in symbolic form bodies : Tuple If the bodies in the system were given they are stored in a tuple for future access loads : Tuple If the loads in the system were given they are stored in a tuple for future access. This includes forces and torques where forces are given by (point of application, force vector) and torques are given by (reference frame acted upon, torque vector). Example ======= As a simple example, the dynamics of a simple pendulum will be input into a SymbolicSystem object manually. First some imports will be needed and then symbols will be set up for the length of the pendulum (l), mass at the end of the pendulum (m), and a constant for gravity (g). :: >>> from sympy import Matrix, sin, symbols >>> from sympy.physics.mechanics import dynamicsymbols, SymbolicSystem >>> l, m, g = symbols('l m g') The system will be defined by an angle of theta from the vertical and a generalized speed of omega will be used where omega = theta_dot. :: >>> theta, omega = dynamicsymbols('theta omega') Now the equations of motion are ready to be formed and passed to the SymbolicSystem object. :: >>> kin_explicit_rhs = Matrix([omega]) >>> dyn_implicit_mat = Matrix([l**2 * m]) >>> dyn_implicit_rhs = Matrix([-g * l * m * sin(theta)]) >>> symsystem = SymbolicSystem([theta], dyn_implicit_rhs, [omega], ... dyn_implicit_mat) Notes ===== m : number of generalized speeds n : number of generalized coordinates o : number of states """ def __init__(self, coord_states, right_hand_side, speeds=None, mass_matrix=None, coordinate_derivatives=None, alg_con=None, output_eqns={}, coord_idxs=None, speed_idxs=None, bodies=None, loads=None): """Initializes a SymbolicSystem object""" # Extract information on speeds, coordinates and states if speeds is None: self._states = Matrix(coord_states) if coord_idxs is None: self._coordinates = None else: coords = [coord_states[i] for i in coord_idxs] self._coordinates = Matrix(coords) if speed_idxs is None: self._speeds = None else: speeds_inter = [coord_states[i] for i in speed_idxs] self._speeds = Matrix(speeds_inter) else: self._coordinates = Matrix(coord_states) self._speeds = Matrix(speeds) self._states = self._coordinates.col_join(self._speeds) # Extract equations of motion form if coordinate_derivatives is not None: self._kin_explicit_rhs = coordinate_derivatives self._dyn_implicit_rhs = right_hand_side self._dyn_implicit_mat = mass_matrix self._comb_implicit_rhs = None self._comb_implicit_mat = None self._comb_explicit_rhs = None elif mass_matrix is not None: self._kin_explicit_rhs = None self._dyn_implicit_rhs = None self._dyn_implicit_mat = None self._comb_implicit_rhs = right_hand_side self._comb_implicit_mat = mass_matrix self._comb_explicit_rhs = None else: self._kin_explicit_rhs = None self._dyn_implicit_rhs = None self._dyn_implicit_mat = None self._comb_implicit_rhs = None self._comb_implicit_mat = None self._comb_explicit_rhs = right_hand_side # Set the remainder of the inputs as instance attributes if alg_con is not None and coordinate_derivatives is not None: alg_con = [i + len(coordinate_derivatives) for i in alg_con] self._alg_con = alg_con self.output_eqns = output_eqns # Change the body and loads iterables to tuples if they are not tuples # already if not isinstance(bodies, tuple) and bodies is not None: bodies = tuple(bodies) if not isinstance(loads, tuple) and loads is not None: loads = tuple(loads) self._bodies = bodies self._loads = loads @property def coordinates(self): """Returns the column matrix of the generalized coordinates""" if self._coordinates is None: raise AttributeError("The coordinates were not specified.") else: return self._coordinates @property def speeds(self): """Returns the column matrix of generalized speeds""" if self._speeds is None: raise AttributeError("The speeds were not specified.") else: return self._speeds @property def states(self): """Returns the column matrix of the state variables""" return self._states @property def alg_con(self): """Returns a list with the indices of the rows containing algebraic constraints in the combined form of the equations of motion""" return self._alg_con @property def dyn_implicit_mat(self): """Returns the matrix, M, corresponding to the dynamic equations in implicit form, M x' = F, where the kinematical equations are not included""" if self._dyn_implicit_mat is None: raise AttributeError("dyn_implicit_mat is not specified for " "equations of motion form [1] or [2].") else: return self._dyn_implicit_mat @property def dyn_implicit_rhs(self): """Returns the column matrix, F, corresponding to the dynamic equations in implicit form, M x' = F, where the kinematical equations are not included""" if self._dyn_implicit_rhs is None: raise AttributeError("dyn_implicit_rhs is not specified for " "equations of motion form [1] or [2].") else: return self._dyn_implicit_rhs @property def comb_implicit_mat(self): """Returns the matrix, M, corresponding to the equations of motion in implicit form (form [2]), M x' = F, where the kinematical equations are included""" if self._comb_implicit_mat is None: if self._dyn_implicit_mat is not None: num_kin_eqns = len(self._kin_explicit_rhs) num_dyn_eqns = len(self._dyn_implicit_rhs) zeros1 = zeros(num_kin_eqns, num_dyn_eqns) zeros2 = zeros(num_dyn_eqns, num_kin_eqns) inter1 = eye(num_kin_eqns).row_join(zeros1) inter2 = zeros2.row_join(self._dyn_implicit_mat) self._comb_implicit_mat = inter1.col_join(inter2) return self._comb_implicit_mat else: raise AttributeError("comb_implicit_mat is not specified for " "equations of motion form [1].") else: return self._comb_implicit_mat @property def comb_implicit_rhs(self): """Returns the column matrix, F, corresponding to the equations of motion in implicit form (form [2]), M x' = F, where the kinematical equations are included""" if self._comb_implicit_rhs is None: if self._dyn_implicit_rhs is not None: kin_inter = self._kin_explicit_rhs dyn_inter = self._dyn_implicit_rhs self._comb_implicit_rhs = kin_inter.col_join(dyn_inter) return self._comb_implicit_rhs else: raise AttributeError("comb_implicit_mat is not specified for " "equations of motion in form [1].") else: return self._comb_implicit_rhs def compute_explicit_form(self): """If the explicit right hand side of the combined equations of motion is to provided upon initialization, this method will calculate it. This calculation can potentially take awhile to compute.""" if self._comb_explicit_rhs is not None: raise AttributeError("comb_explicit_rhs is already formed.") inter1 = getattr(self, 'kin_explicit_rhs', None) if inter1 is not None: inter2 = self._dyn_implicit_mat.LUsolve(self._dyn_implicit_rhs) out = inter1.col_join(inter2) else: out = self._comb_implicit_mat.LUsolve(self._comb_implicit_rhs) self._comb_explicit_rhs = out @property def comb_explicit_rhs(self): """Returns the right hand side of the equations of motion in explicit form, x' = F, where the kinematical equations are included""" if self._comb_explicit_rhs is None: raise AttributeError("Please run .combute_explicit_form before " "attempting to access comb_explicit_rhs.") else: return self._comb_explicit_rhs @property def kin_explicit_rhs(self): """Returns the right hand side of the kinematical equations in explicit form, q' = G""" if self._kin_explicit_rhs is None: raise AttributeError("kin_explicit_rhs is not specified for " "equations of motion form [1] or [2].") else: return self._kin_explicit_rhs def dynamic_symbols(self): """Returns a column matrix containing all of the symbols in the system that depend on time""" # Create a list of all of the expressions in the equations of motion if self._comb_explicit_rhs is None: eom_expressions = (self.comb_implicit_mat[:] + self.comb_implicit_rhs[:]) else: eom_expressions = (self._comb_explicit_rhs[:]) functions_of_time = set() for expr in eom_expressions: functions_of_time = functions_of_time.union( find_dynamicsymbols(expr)) functions_of_time = functions_of_time.union(self._states) return tuple(functions_of_time) def constant_symbols(self): """Returns a column matrix containing all of the symbols in the system that do not depend on time""" # Create a list of all of the expressions in the equations of motion if self._comb_explicit_rhs is None: eom_expressions = (self.comb_implicit_mat[:] + self.comb_implicit_rhs[:]) else: eom_expressions = (self._comb_explicit_rhs[:]) constants = set() for expr in eom_expressions: constants = constants.union(expr.free_symbols) constants.remove(dynamicsymbols._t) return tuple(constants) @property def bodies(self): """Returns the bodies in the system""" if self._bodies is None: raise AttributeError("bodies were not specified for the system.") else: return self._bodies @property def loads(self): """Returns the loads in the system""" if self._loads is None: raise AttributeError("loads were not specified for the system.") else: return self._loads