Development and Optimization Design of a Novel Double Stator Doubly Salient Variable Flux Memory Motor

In this paper, a novel double stator doubly salient variable flux memory motor (DS-DSVFMM) is proposed. Firstly, the topology structure and operation principle of theDS-DSVFMM are introduced. The equivalent magnetic circuit model is established, and the principle of online flux regulation is analyzed. Then, based on the structural characteristics of the proposed motor, the optimization objectives and constraints are established for the multi-objective optimization design. The structural parameters with high sensitivity to the motor performance are selected, and the response surface models of the key parameters for average torque, torque ripple and iron loss are constructed. The NSGA-II algorithm is used for the multi-objective optimization design, and the Pareto solution set and optimal structural parameters are obtained. The electromagnetic performance of the motor before and after optimization are compared and analyzed. It shows that the average torque is increased and torque ripple is decreased effectively. Meanwhile, the good flux regulation performance of the DS-DSVFMM is demonstrated, which verifies the effectiveness of the proposed motor topology and optimization method. Finally, the DS-DSVFMM prototype is fabricated and verified by no-load and load experiments.