def test_generic_calls(self):
"""
check whether all generic simulation and postprocessing modules are registered using the general getter call
"""
# register in wrong module category
self.assertRaises(TypeError, register_simulation_module, PostProcessingModule, EvalA1)
self.assertRaises(TypeError, register_processing_module, MetaProcessingModule, EvalA1)
register_processing_module(PostProcessingModule, EvalA1)
# check registration
self.assertEqual([(EvalA1, "EvalA1")],
get_registered_processing_modules(PostProcessingModule)[-1:])
# test for automatic duplicate recognition
self.assertRaises(ValueError, register_processing_module, PostProcessingModule, EvalA1)
def test_generic_calls(self):
"""
check whether all generic simulation and postprocessing modules are registered using the general getter call
"""
# register in wrong module category
self.assertRaises(TypeError, register_simulation_module,
PostProcessingModule, EvalA1)
self.assertRaises(TypeError, register_processing_module,
MetaProcessingModule, EvalA1)
register_processing_module(PostProcessingModule, EvalA1)
# check registration
self.assertEqual(
[(EvalA1, "EvalA1")],
get_registered_processing_modules(PostProcessingModule)[-1:])
# test for automatic duplicate recognition
self.assertRaises(ValueError, register_processing_module,
PostProcessingModule, EvalA1)
import pymoskito as pm
class MassMetricMetaProcessor(pm.XYMetaProcessor):
def __init__(self):
sort_key = ["modules", "Controller", "type"]
x_path = ["modules", "Model", "M"]
y_path = ["metrics", "L1NormITAE"]
pm.XYMetaProcessor.__init__(self, x_path, y_path, sort_key)
pm.register_processing_module(pm.MetaProcessingModule, MassMetricMetaProcessor)
if __name__ == "__main__":
# register own modules
register_simulation_module(Model, TwoPendulumModel)
register_simulation_module(Model, TwoPendulumRigidBodyModel)
register_simulation_module(Model, TwoPendulumModelParLin)
register_simulation_module(Controller, LinearStateFeedback)
register_simulation_module(Controller, LinearStateFeedbackParLin)
register_simulation_module(Controller, LjapunovController)
register_simulation_module(Controller, SwingUpController)
register_visualizer(TwoPendulumVisualizer)
register_processing_module(PostProcessingModule, TwoPendulum)
# create an Application instance (needed)
app = QApplication([])
if 1:
# create Simulator
sim = Simulator()
# load default config
sim.load_regimes_from_file("default.sreg")
# apply a regime
sim.apply_regime_by_name("test")
# remotely start a simulation
label=r"$\dot{\varphi}_{1}$")
axes1.plot(t, np.rad2deg(phi1_vel_analytic),
c="red",
linestyle="--",
linewidth=0.8,
label=r"$\dot{\varphi}_{1,\mathrm{ana}}$")
axes1.set_xlim(left=t[0], right=t[-1])
axes1.set_xlabel(r"Time in s")
axes1.set_ylabel(r"Angular velocity in $^\circ\hspace{-3pt}/\mathrm{s}$")
axes1.grid()
axes1.legend()
axes1.legend(loc=0)
canvas = FigureCanvas(fig)
plot_name = "_".join([data["regime name"], self.name, "phi1"])
return_list.append({"name": plot_name, "figure": canvas})
# save file
self.write_output_files(result_name="_".join([data["regime name"], "phi1"]),
figure=fig,
output=pm.construct_result_dict(data, output={}))
return return_list
# parameter of the oscillation differential equation
# D = d1*np.sqrt(g/l1)/(2*m1*l1**2)
# omega0 = np.sqrt(l1/g)
pm.register_processing_module(pm.PostProcessingModule, TwoPendulum)
pm.register_processing_module(pm.PostProcessingModule, SimulationVerification)
import pymoskito as pm
class MassMetricMetaProcessor(pm.XYMetaProcessor):
def __init__(self):
sort_key = ["modules", "Controller", "type"]
x_path = ["modules", "Model", "M"]
y_path = ["metrics", "L1NormITAE"]
pm.XYMetaProcessor.__init__(self, x_path, y_path, sort_key)
pm.register_processing_module(pm.MetaProcessingModule, MassMetricMetaProcessor)
from processing import TwoPendulum
if __name__ == '__main__':
# register own modules
register_simulation_module(Model, TwoPendulumModel)
register_simulation_module(Model, TwoPendulumRigidBodyModel)
register_simulation_module(Model, TwoPendulumModelParLin)
register_simulation_module(Controller, LinearStateFeedback)
register_simulation_module(Controller, LinearStateFeedbackParLin)
register_simulation_module(Controller, LjapunovController)
register_simulation_module(Controller, SwingUpController)
register_visualizer(TwoPendulumVisualizer)
register_processing_module(PostProcessingModule, TwoPendulum)
# create an Application instance (needed)
app = QApplication([])
if 1:
# create Simulator
sim = Simulator()
# load default config
sim.load_regimes_from_file("default.sreg")
# apply a regime
sim.apply_regime_by_name("test")
# remotely start a simulation
import pymoskito as pm
from . import settings as st
class BallBeamStepResponse(pm.StepResponse):
"""
Postprocessor the creates Step Response Diagrams for the Ballbeam system.
Run the `pp_regimes.sreg` file to create the required simulation data.
"""
def __init__(self):
super().__init__(model_idx=0, trajectory_idx=0)
pm.register_processing_module(pm.PostProcessingModule, BallBeamStepResponse)
# TODO get those working again
class EvalA1(pm.PostProcessingModule):
"""
create diagrams for evaluation step A1
"""
name = 'A1'
line_color = '#aaaaaa'
line_style = '-'
font_size = 20
# epsPercent = 2./5
spacing = 0.01
counter = 0
register_simulation_module, register_processing_module, register_visualizer, \
PostProcessingModule, \
Model, Controller
from model import BallBeamModel
from control import FController
from visualization import BallBeamVisualizer
from postprocessing import EvalA1
__author__ = 'stefan'
if __name__ == '__main__':
# register own modules
register_simulation_module(Model, BallBeamModel)
register_simulation_module(Controller, FController)
register_processing_module(PostProcessingModule, EvalA1)
register_visualizer(BallBeamVisualizer)
# create an Application instance (needed)
app = QtGui.QApplication([])
if 0:
# create simulator
sim = Simulator()
# load default config
sim.load_regimes_from_file("default.sreg")
sim.apply_regime_by_name("test-nonlinear")
sim.start_simulation()
sim.show()
from feedforward import BallInTubeFeedforward
from visualization import BallInTubeVisualizer
from processing import ErrorProcessor
if __name__ == "__main__":
# register Modules
register_simulation_module(Model, BallInTubeModel)
register_simulation_module(Model, BallInTubeSpringModel)
register_simulation_module(Controller, ExactInputOutputLinearisation)
register_simulation_module(Controller, OpenLoop)
register_simulation_module(Feedforward, BallInTubeFeedforward)
register_visualizer(BallInTubeVisualizer)
register_processing_module(PostProcessingModule, ErrorProcessor)
# create an Application instance (needed)
app = QtGui.QApplication([])
if 1:
# create gui
sim = Simulator()
# load default config
sim.load_regimes_from_file("default.sreg")
sim.apply_regime_by_name("test")
# gui.start_simulation()
sim.show()
else:
# L1
dt = 1.0 / data['modules']['solver']['measure rate']
errorIntegrals = [0, 0, 0, 0]
# check for sim success
if not data['results']['finished']:
for key in output.keys():
output[key] = None
for i in range(len(errorIntegrals)):
for k, val in enumerate(xo[i]):
# vgl. Betragskriterium L^1
errorIntegrals[i] += 1
errorIntegrals[i] += abs(val - xm[i][k]) * dt
print('errorIntegral_x[' + str(i) + ']:', errorIntegrals[i])
output.update({'error_L1Norm_x[' + str(i) + ']': errorIntegrals[i]})
# add settings and metrics to dictionary results
results = {}
results.update({'metrics': output})
results.update({'modules': data['modules']})
canvas = FigureCanvas(fig)
self.writeOutputFiles(self.name, data["regime name"], fig, results)
return dict(name="_".join({data["regime name"], self.name}), figure=canvas)
pm.register_processing_module(pm.PostProcessingModule, EvalA1)
