Torque Performance Optimization of MR Fluid Brake Integrated PMSM Based on Brake Constrained Bagging-GA Method
2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD)(2023)
摘要
This article presents an optimization design method of torque performance for magnetorheological fluid brake integrated permanent magnet synchronous machine (MRFB-I-PMSM). Machine learning model Bagging is used to build an accurate surrogate model of MRFB-I-PMSM from finite element analysis (FEA) results to improve the efficiency of the multi-objective optimization in the genetic algorithm (GA). Then, the brake torque is added to GA as a constraint related to the EM torque, the initial complex three-objective optimization is simplified into the brake constrained two-objective problem.
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关键词
Machine learning,genetic algorithm (GA),Bagging,optimization design,MR fluid brake,PMSM,brake constraint
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