TY - GEN
T1 - Rotor Optimization Design of Brushless Doubly Fed Machine Based on Improved Particle Swarm Optimization
AU - Zhang, Fengge
AU - Ma, Dandan
AU - Wang, Hao
AU - Zhang, He
AU - Yue, Yanbo
N1 - Publisher Copyright:
© 2018 KIEE EMECS (KIEE Electrical Machinery and Energy Conversion Systems).
PY - 2018/11/27
Y1 - 2018/11/27
N2 - The rotor coupling ability of brushless doubly fed machine (BDFM) is the most important factor that affects the performance of the machine. In order to improve the rotor coupling capability, the optimization design of rotor structure is significant extremely. In this paper, the mutual inductance between different winding is seen as the optimal target, and the improved particle swarm optimization (IPSO), which applies chaos theory, uses a random method to constrain boundary conditions and various inertia weight so as to improve the local convergence of the traditional particle swarm optimization (PSO), is proposed to optimize the rotor of BDFM with magnetic barrier rotor. Since there are both discrete variables and continuous variables in the optimization problem, binary processing is carried out on the discrete variables to realize the optimization of mixed variables. The simulation results verify the effectiveness and feasibility of IPSO on rotor optimization of BDFM.
AB - The rotor coupling ability of brushless doubly fed machine (BDFM) is the most important factor that affects the performance of the machine. In order to improve the rotor coupling capability, the optimization design of rotor structure is significant extremely. In this paper, the mutual inductance between different winding is seen as the optimal target, and the improved particle swarm optimization (IPSO), which applies chaos theory, uses a random method to constrain boundary conditions and various inertia weight so as to improve the local convergence of the traditional particle swarm optimization (PSO), is proposed to optimize the rotor of BDFM with magnetic barrier rotor. Since there are both discrete variables and continuous variables in the optimization problem, binary processing is carried out on the discrete variables to realize the optimization of mixed variables. The simulation results verify the effectiveness and feasibility of IPSO on rotor optimization of BDFM.
KW - brushless doubly fed machine
KW - coupling capacity
KW - improved particle swarm optimization
KW - magnetic barrier rotor
UR - http://www.scopus.com/inward/record.url?scp=85060034936&partnerID=8YFLogxK
U2 - 10.23919/ICEMS.2018.8549426
DO - 10.23919/ICEMS.2018.8549426
M3 - Conference contribution
AN - SCOPUS:85060034936
T3 - ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems
SP - 564
EP - 569
BT - ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Electrical Machines and Systems, ICEMS 2018
Y2 - 7 October 2018 through 10 October 2018
ER -