Optimal Design of PMSLM Based on Extremum Robust Domain Characteristic

作者：Hu, Xi^*; Zhao, Jiwen; Pan, Zhenbao; Yu, Zixiang; Yang, Xing

来源：IEEE Transactions on Industrial Electronics, 2023.

DOI：10.1109/TIE.2023.3290233

• permanent magnet synchronous linear motor (PMSLM)
• optimization design
• thrust ripple
• extremum
• extremum robust domain characteristic (ERDC)

Deterministic optimization of permanent magnet synchronous linear motor (PMSLM) results in poor robustness of motor thrust performance because it usually ignores manufacturing tolerances, assembly errors, and other uncertainties. Therefore, an optimization method based on extremum robust domain characteristic (ERDC) is proposed to achieve robust optimization of PMSLM. First, the equivalent magnetization intensity method based on PMSLM topology is applied to establish the thrust ripple analysis model. Second, a combination of Tent chaotic sequences and opposition-based learning initialization strategy is used in the conventional niche particle swarm optimization (NPSO) to increase population diversity. A difference sequence method is applied to merge same-peaked niches, which overcomes NPSO's dependence on parameter settings, improves search efficiency and ensures full extremums under constraint. Third, the characteristics of the extremum robust domain (ERD) are analyzed. The robustness extremum evaluation index combined the size of ERD with measures of dispersion of the thrust ripple is put forward to evaluate the local peak and determine the optimal robustness extremum. Finally, the optimization results show the superiority of the method by comparing the proposed ERDC method with the deterministic optimization method based on particle swarm optimization (PSO) algorithm. The effectiveness of the proposed method is verified using simulations and experiments.