TY - JOUR
T1 - Optimal Design of a Switched Reluctance Motor with Magnetically Disconnected Rotor Modules Using a Design of Experiments Differential Evolution FEA-Based Method
AU - Rallabandi, Vandana
AU - Wu, Jie
AU - Zhou, Ping
AU - Dorrell, David G.
AU - Ionel, Dan M.
N1 - Publisher Copyright:
© 1965-2012 IEEE.
PY - 2018/11
Y1 - 2018/11
N2 - Switched reluctance (SR) machines are attractive because they present relatively high efficiency and torque density in spite of lacking permanent magnets. This paper focuses on a two-objective optimization of an external rotor SR motor with a stator that has concentrated coils and a rotor with magnetically isolated modules. The objectives are minimum loss and mass, and 11 independent dimensionless geometric variables are considered as inputs that affect them. A combined design of experiments (DOE) and differential evolution (DE) approach is proposed. The DOE methodology is used to reduce the search space by eliminating from consideration input variable values, leading to poor-performing designs. Following this initial DOE study, an optimization study based on DE is run over the reduced search space, which leads to significant savings in computation time. Furthermore, a directed graph-based method for comparing different designs on the Pareto front to rank the best compromise designs is proposed.
AB - Switched reluctance (SR) machines are attractive because they present relatively high efficiency and torque density in spite of lacking permanent magnets. This paper focuses on a two-objective optimization of an external rotor SR motor with a stator that has concentrated coils and a rotor with magnetically isolated modules. The objectives are minimum loss and mass, and 11 independent dimensionless geometric variables are considered as inputs that affect them. A combined design of experiments (DOE) and differential evolution (DE) approach is proposed. The DOE methodology is used to reduce the search space by eliminating from consideration input variable values, leading to poor-performing designs. Following this initial DOE study, an optimization study based on DE is run over the reduced search space, which leads to significant savings in computation time. Furthermore, a directed graph-based method for comparing different designs on the Pareto front to rank the best compromise designs is proposed.
KW - Design of experiments (DOE)
KW - differential evolution (DE)
KW - multiobjective optimization
KW - switched reluctance (SR) motor
UR - http://www.scopus.com/inward/record.url?scp=85050603415&partnerID=8YFLogxK
U2 - 10.1109/TMAG.2018.2850744
DO - 10.1109/TMAG.2018.2850744
M3 - Article
AN - SCOPUS:85050603415
SN - 0018-9464
VL - 54
JO - IEEE Transactions on Magnetics
JF - IEEE Transactions on Magnetics
IS - 11
M1 - 8419720
ER -