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

Area of Science:

• Robotics
• Electrical Engineering
• Motor Design

Background:

• Traditional bearingless switched reluctance motors (BLSRMs) face challenges with self-starting and torque ripple.
• Space robot applications demand high-performance, reliable motor systems.

Purpose of the Study:

• To propose and validate an optimized stepped rotor BLSRM structure.
• To address the limitations of conventional BLSRM designs for space applications.

Main Methods:

• Analysis of a 12/14 hybrid stator pole type BLSRM.
• Design of a novel stepped rotor BLSRM.
• Improved particle swarm optimization (PSO) combined with finite element analysis (FEA) for parameter optimization.

Main Results:

• The stepped rotor BLSRM demonstrated enhanced self-starting capabilities.
• Significant reduction in torque fluctuation was observed compared to traditional designs.
• FEA confirmed the improved performance of the proposed motor structure.

Conclusions:

• The optimized stepped rotor BLSRM effectively overcomes the drawbacks of traditional BLSRMs.
• The proposed motor structure and optimization methodology are validated for space robot applications.