Analysis and Optimization of Fault Tolerant Permanent Magnet Vernier Rim Driven Machine Based on the Continuous Variable Magnetic Network Model

Aiming at the time-consuming issue of traditional finite element analysis (FEA) method machine design and optimization, and the inflexibility of machine parameter verification, an analysis and optimization method for the design of a fault tolerant permanent magnet vernier rim driven machine (FTPMV-RDM) based on the continuous variable magnetic network model (CVMNM) is proposed. The machine is modeled by the method using a combination of flux path and cross-shaped mesh, with full consideration of the effects of permanent magnet leakage and machine core saturation. Meanwhile, the connection relationship between the stator and rotor models can be continuously varied to simulate the rotation of the machine. The continuous variable magnetic network model is further combined with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) for the optimal design of the machine. Compared to the conventional FEA method, the proposed model reduces the computation time without sacrificing accuracy in both no-load and loaded magnetic field calculations. Finally, the experimental results verify the accuracy and effectiveness of the method proposed in this paper.