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A special pole bearingless induction motor (SPBIM) with improved rotor structure is proposed, which shields the interference of suspension winding to torque. To achieve the optimal performance of the SPBIM, a multi-objective optimization design is proposed based on a bi-level optimization scheme. The basic structure and mathematical model of SPBIM are presented and analysed. Then, the optimized parameters are stratied into sensitive and sub-sensitive parameters. For sensitive parameters, the artificial fish swarm algorithm based on the fitting function from the response surface method is adopted. For sub-sensitive parameters, the multi-objective random search method, based on the finite element method (FEM), is used, and the final optimal solution is obtained. Based on the optimized parameters and optimal solution, the suspension and driving performance between the initial and optimal SPBIM are compared using the FEM. Finally, the optimal prototype is manufactured. The experimental results confirm the effectiveness of the motor design and optimization scheme.

Modelling and optimization for a special pole bearingless induction motor