def test_basic_algebraic_loop(self):
model_sub1 = FMUModelCS2("LinearStability.SubSystem1.fmu",
cs2_xml_path,
_connect_dll=False)
model_sub2 = FMUModelCS2("LinearStability.SubSystem2.fmu",
cs2_xml_path,
_connect_dll=False)
models = [model_sub1, model_sub2]
connections = [(model_sub1, "y1", model_sub2, "u2"),
(model_sub2, "y2", model_sub1, "u1")]
sim = Master(models, connections)
assert sim.algebraic_loops
model_sub1 = FMUModelCS2("LinearStability_LinearSubSystemNoFeed1.fmu",
cs2_xml_path,
_connect_dll=False)
model_sub2 = FMUModelCS2("LinearStability_LinearSubSystemNoFeed2.fmu",
cs2_xml_path,
_connect_dll=False)
models = [model_sub1, model_sub2]
connections = [(model_sub1, "y1", model_sub2, "u2"),
(model_sub2, "y2", model_sub1, "u1")]
sim = Master(models, connections)
assert not sim.algebraic_loops
def get_linear_model_matrices(model: fmi.FMUModelCS2):
x_num = int(model.get('n'))
u_num = int(model.get('m'))
y_num = int(model.get('p'))
A = _read_model_matrix(model, 'A', (x_num, x_num))
B = _read_model_matrix(model, 'B', (x_num, u_num))
C = _read_model_matrix(model, 'C', (y_num, x_num))
D = _read_model_matrix(model, 'D', (y_num, u_num))
return A, B, C, D
def test_loading_models(self):
model_sub1 = FMUModelCS2("LinearStability.SubSystem1.fmu",
cs2_xml_path,
_connect_dll=False)
model_sub2 = FMUModelCS2("LinearStability.SubSystem2.fmu",
cs2_xml_path,
_connect_dll=False)
models = [model_sub1, model_sub2]
connections = [(model_sub1, "y1", model_sub2, "u2"),
(model_sub2, "y2", model_sub1, "u1")]
#Assert that loading is successful
sim = Master(models, connections)
def _read_model_matrix(model: fmi.FMUModelCS2, matrix_name: str,
shape: t.Tuple[int, int]):
M = np.zeros(shape)
for i in range(1, shape[0] + 1):
for j in range(1, shape[1] + 1):
M[i - 1, j - 1] = model.get(f'{matrix_name}[{i},{j}]')
return M
def test_log_file_name(self):
full_path = os.path.join(file_path, "files", "FMUs", "XML", "CS2.0",
"CoupledClutches.fmu")
model = FMUModelCS2(full_path, _connect_dll=False)
path, file_name = os.path.split(full_path)
assert model.get_log_file_name() == file_name.replace(
".", "_")[:-4] + "_log.txt"
def test_loading_xml_cs2(self):
model = FMUModelCS2("CoupledClutches.fmu",
os.path.join(file_path, "files", "FMUs", "XML",
"CS2.0"),
_connect_dll=False)
assert model.get_name() == "CoupledClutches", model.get_name()
def test_connection_variables(self):
model_sub1 = FMUModelCS2("LinearStability.SubSystem1.fmu",
cs2_xml_path,
_connect_dll=False)
model_sub2 = FMUModelCS2("LinearStability.SubSystem2.fmu",
cs2_xml_path,
_connect_dll=False)
models = [model_sub1, model_sub2]
#Test all connections are inputs or outputs
connections = [(model_sub1, "y1", model_sub2, "x2"),
(model_sub2, "y2", model_sub1, "u1")]
nose.tools.assert_raises(FMUException, Master, models, connections)
#Test wrong input / output order
connections = [(model_sub2, "u2", model_sub1, "y1"),
(model_sub2, "y2", model_sub1, "u1")]
nose.tools.assert_raises(FMUException, Master, models, connections)
def __init__(self, negated_aliases, *args,**kwargs):
FMUModelCS2.__init__(self, *args, **kwargs)
self.continuous_states = np.zeros(self.get_ode_sizes()[0])
self.variables = self.get_model_variables(include_alias=False)
self.negated_aliases = negated_aliases
self.values = {}
for var in self.variables:
try:
start = self.get_variable_start(var)
except FMUException:
start = 0.0
self.values[self.variables[var].value_reference] = start
for alias in self.negated_aliases:
self.values[self.variables[alias[1]].value_reference] = -self.values[self.variables[alias[0]].value_reference]
states = self.get_states_list()
for i,state in enumerate(states):
self.continuous_states[i] = self.values[states[state].value_reference]
def test_loading_wrong_model(self):
model_sub1 = FMUModelCS2("LinearStability.SubSystem1.fmu",
cs2_xml_path,
_connect_dll=False)
model_sub2 = FMUModelME2("LinearStability.SubSystem2.fmu",
me2_xml_path,
_connect_dll=False)
models = [model_sub1, model_sub2]
connections = [(model_sub1, "y1", model_sub2, "u2"),
(model_sub2, "y2", model_sub1, "u1")]
nose.tools.assert_raises(FMUException, Master, models, connections)