예제 #1
0
 def test_default_parameters(self):
     controller = AcrobotSpongController()
     context = controller.CreateDefaultContext()
     expected_parameters = SpongControllerParams()
     actual_parameters = controller.get_parameters(context)
     self.assertEqual(actual_parameters.k_e(), expected_parameters.k_e())
     self.assertEqual(actual_parameters.k_p(), expected_parameters.k_p())
     self.assertEqual(actual_parameters.k_d(), expected_parameters.k_d())
     self.assertEqual(actual_parameters.balancing_threshold(),
                      expected_parameters.balancing_threshold())
예제 #2
0
파일: spong_sim.py 프로젝트: ylshimp/drake
def simulate(*, initial_state, controller_params, t_final, tape_period):
    """Simulates an Acrobot + Spong controller from the given initial state and
    parameters until the given final time.  Returns the state sampled at the
    given tape_period.
    """
    builder = DiagramBuilder()
    plant = builder.AddSystem(AcrobotPlant())
    controller = builder.AddSystem(AcrobotSpongController())

    builder.Connect(plant.get_output_port(0), controller.get_input_port(0))
    builder.Connect(controller.get_output_port(0), plant.get_input_port(0))
    state_logger = LogOutput(plant.get_output_port(0), builder)
    state_logger.set_publish_period(tape_period)

    diagram = builder.Build()
    simulator = Simulator(diagram)
    context = simulator.get_mutable_context()
    plant_context = diagram.GetMutableSubsystemContext(plant, context)
    controller_context = diagram.GetMutableSubsystemContext(
        controller, context)

    plant_context.SetContinuousState(initial_state)
    controller_context.get_mutable_numeric_parameter(0).SetFromVector(
        controller_params)

    simulator.AdvanceTo(t_final)

    x_tape = state_logger.data()
    return x_tape
예제 #3
0
 def test_param_accessors(self):
     controller = AcrobotSpongController()
     context = controller.CreateDefaultContext()
     controller.get_mutable_parameters(context).set_k_e(1.)
     actual_parameters = controller.get_parameters(context)
     self.assertEqual(actual_parameters.k_e(), 1.)