TY - GEN
T1 - Structure optimization of permanent magnet spherical motor utilizing improved Particle Swarm algorithm
AU - Yan, Liang
AU - Zhang, Jingying
AU - Duan, Haibin
AU - Jiao, Zongxia
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - The improved particle swarm optimization (PSO) algorithm is used to optimize the structure of permanent magnetic spherical motor with four pairs of rotor poles. The objective is to maximize peak value of output torque and peak value of magnetic flux density. Seven variables are selected which are rotor radius, rotor core radius, the longitudinal angle and the latitudinal angle of single rotor pole, coil length, coil angle. Firstly, the magnetic field model and torque model of optimization is built. Based on the two models above, the objective function is deduced. Then the spherical motor is optimized based on the improved PSO algorithm. Finally, the optimization results indicate that the optimal structure parameters are obtained. In a word, Improved PSO algorithm shows great advantage in the optimal design of motor.
AB - The improved particle swarm optimization (PSO) algorithm is used to optimize the structure of permanent magnetic spherical motor with four pairs of rotor poles. The objective is to maximize peak value of output torque and peak value of magnetic flux density. Seven variables are selected which are rotor radius, rotor core radius, the longitudinal angle and the latitudinal angle of single rotor pole, coil length, coil angle. Firstly, the magnetic field model and torque model of optimization is built. Based on the two models above, the objective function is deduced. Then the spherical motor is optimized based on the improved PSO algorithm. Finally, the optimization results indicate that the optimal structure parameters are obtained. In a word, Improved PSO algorithm shows great advantage in the optimal design of motor.
UR - https://www.scopus.com/pages/publications/85015238974
U2 - 10.1109/CGNCC.2016.7829143
DO - 10.1109/CGNCC.2016.7829143
M3 - 会议稿件
AN - SCOPUS:85015238974
T3 - CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
SP - 2255
EP - 2259
BT - CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
Y2 - 12 August 2016 through 14 August 2016
ER -