1. A Novel Motor Structure with Extended Particle Swarm Optimization for Space Robot Control.
- Author
-
Gao, Hongwei, Liu, Zide, Wang, Xuna, Li, Dongyu, Zhang, Tian, Yu, Jiahui, and Wang, Jianbin
- Subjects
- *
PARTICLE swarm optimization , *SWITCHED reluctance motors , *ROBOT control systems , *FINITE element method - Abstract
This paper studies motor structures and optimization methods for space robots, proposing an optimized stepped rotor bearingless switched reluctance motor (BLSRM) to solve the poor self-starting ability and significant torque fluctuation issues in traditional BLSRMs. Firstly, the advantages and disadvantages of the 12/14 hybrid stator pole type BLSRM were analyzed, and a stepped rotor BLSRM structure was designed. Secondly, the particle swarm optimization (PSO) algorithm was improved and combined with finite element analysis for motor structure parameter optimization. Subsequently, a performance analysis of the original and new motors was conducted using finite element analysis software, and the results showed that the stepped rotor BLSRM had an improved self-starting ability and significantly reduced torque fluctuation, verifying the effectiveness of the proposed motor structure and optimization method. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF