from numpy import ones, pi, array
from os.path import join
import matplotlib.pyplot as plt
from ....Tests import save_validation_path as save_path
from ....Classes.Simu1 import Simu1
from ....Tests.Validation.Machine.SPMSM_003 import SPMSM_003
from ....Classes.InputCurrent import InputCurrent
from ....Classes.InputFlux import InputFlux
from ....Classes.ImportGenVectLin import ImportGenVectLin
from ....Classes.ImportMatrixVal import ImportMatrixVal
from ....Classes.ImportMatlab import ImportMatlab
from ....Classes.MagFEMM import MagFEMM
from ....Classes.Output import Output
from ....Tests import DATA_DIR
[docs]def test_Magnetic_FEMM_sym():
"""Validation of a polar SIPMSM with surface magnet
Linear lamination material
From publication
Lubin, S. Mezani, and A. Rezzoug,
“2-D Exact Analytical Model for Surface-Mounted Permanent-Magnet Motors with Semi-Closed Slots,”
IEEE Trans. Magn., vol. 47, no. 2, pp. 479–492, 2011.
Test compute the Flux in FEMM, with and without symmetry
and with MANATEE semi-analytical subdomain model
"""
simu = Simu1(name="EM_SPMSM_FL_001", machine=SPMSM_003)
# Definition of the enforced output of the electrical module
Nr = ImportMatrixVal(value=ones(4) * 3000)
Is = ImportMatrixVal(
value=array(
[
[6.97244193e-06, 2.25353053e02, -2.25353060e02],
[-2.60215295e02, 1.30107654e02, 1.30107642e02],
[-6.97244208e-06, -2.25353053e02, 2.25353060e02],
[2.60215295e02, -1.30107654e02, -1.30107642e02],
]
)
)
time = ImportGenVectLin(start=0, stop=0.015, num=4, endpoint=True)
angle = ImportGenVectLin(start=0, stop=2 * pi, num=1024, endpoint=False)
simu.input = InputCurrent(
Is=Is,
Ir=None, # No winding on the rotor
Nr=Nr,
angle_rotor=None, # Will be computed
time=time,
angle=angle,
angle_rotor_initial=0.5216 + pi,
)
# Definition of the magnetic simulation (no symmetry)
simu.mag = MagFEMM(
is_stator_linear_BH=2,
is_rotor_linear_BH=2,
is_symmetry_a=False,
is_antiper_a=True,
)
simu.struct = None
# Copy the simu and activate the symmetry
simu_sym = Simu1(init_dict=simu.as_dict())
simu_sym.mag.is_symmetry_a = True
# Just load the Output and ends (we could also have directly filled the Output object)
simu_load = Simu1(init_dict=simu.as_dict())
simu_load.mag = None
mat_file = join(DATA_DIR, "EM_SPMSM_FL_001_MANATEE_SDM.mat")
Br = ImportMatlab(file_path=mat_file, var_name="XBr")
Bt = ImportMatlab(file_path=mat_file, var_name="XBt")
simu_load.input = InputFlux(time=time, angle=angle, Br=Br, Bt=Bt)
out = Output(simu=simu)
out.post.legend_name = "No symmetry"
simu.run()
out2 = Output(simu=simu_sym)
out2.post.legend_name = "1/2 symmetry"
out2.post.line_color = "r--"
simu_sym.run()
out3 = Output(simu=simu_load)
out3.post.legend_name = "MANATEE SDM"
out3.post.line_color = "g x"
simu_load.run()
# Plot the result by comparing the two simulation (sym / no sym)
plt.close("all")
out.plot_B_space(out_list=[out2])
fig = plt.gcf()
fig.savefig(join(save_path, "test_EM_SPMSM_FL_001_sym.png"))
# Plot the result by comparing the two simulation (sym / MANATEE)
plt.close("all")
out.plot_B_space(j_t0=1, is_deg=False, out_list=[out3])
fig = plt.gcf()
fig.savefig(join(save_path, "test_EM_SPMSM_FL_001_SDM.png"))
