A Novel Motor Structure with Extended Particle Swarm Optimization for Space Robot Control

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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.
Funding Information
  • Liaoning Province Higher Education Innovative Talents Program (LR2019058, 2021-KF-12-05)
  • Liaoning Province Joint Open Fund for Key Scientific and Technological Innovation Bases (LR2019058, 2021-KF-12-05)

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