Abstract
The bearingless switched reluctance motor (BSRM) integrates the switched reluctance motor (SRM) with the magnetic bearings, which avoids mechanical bearings-loss and makes it promising in high-speed applications. In this paper, a comprehensive framework for the multi-physics multi-objective optimal design of BSRMs based on finite-element method (FEM) is proposed. At first, the 2-D electromagnetic model of a fabricated initial design prototype is built and solved by the open-source FEM software, Elmer. The iron loss model in Elmer based on the Fourier series is modified by a transient iron loss model with less computation time. Besides, a simplified lumped-parameter (LP) thermal model of the BSRM is applied to estimate the temperature rise of BSRM in the steady state. Then, the comprehensive framework for the multi-physics multi-objective optimal design of BSRMs based on FEM is proposed. The objectives, constraints, and decision variables for optimization are determined. The multi-objective genetic particle swarm optimizer is utilized to obtain the Pareto front of optimization. The electromagnetic performance of the final optimal design is compared with the initial design. Comparison results show that the average electromagnetic torque and the efficiency are significantly enhanced.
Highlights
Bearingless switched reluctance motors (BSRMs) have the same structure as iron core with the conventional switched reluctance motors (SRMs), inheriting their advantages, e.g., low cost, robust rotor structure, and fault tolerance capability
The detail dimensions of stator and rotor poles are not optimized, and the temperature rise of the BSRM cannot be considered during the optimization
The calculated average suspension forces converge in the range of 46.42 N to 50.83 N and satisfy the constraint
Summary
Bearingless switched reluctance motors (BSRMs) have the same structure as iron core with the conventional switched reluctance motors (SRMs), inheriting their advantages, e.g., low cost, robust rotor structure, and fault tolerance capability. Compared with the SRMs, the rotation and suspension of the rotor in BSRMs should be controlled simultaneously. Control strategies for the BSRMs with dual-winding and single windings have been investigated by many researchers [2,3,4,5,6,7,8,9,10]. The BSRMs with novel topologies were presented [11,12,13]. The studies on the optimal design of the BSRMs are limited. The optimal arrangement of windings was discussed in detail [14,15]. The multi-objective optimization of the dual-winding BSRMs based on the analytical model was presented [16]. The detail dimensions of stator and rotor poles are not optimized, and the temperature rise of the BSRM cannot be considered during the optimization
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