中国电机工程学报2024，Vol.44Issue(5)：2037-2046,中插32,11.DOI:10.13334/j.0258-8013.pcsee.222640
采用改进遗传算法优化LS-SVM逆系统的外转子无铁心无轴承永磁同步发电机解耦控制
Decoupling Control of Outer Rotor Coreless Bearingless Permanent Magnet Synchronous Generator Using LS-SVM Inverse System Optimized by the Improved Genetic Algorithm
摘要
Abstract
In order to realize the precise control of the outer rotor coreless bearingless permanent magnet synchronous generator(ORC-BPMSG),a decoupling control strategy of ORC-BPMSG based on the least squares support vector machine(LS-SVM)inverse system optimized by the improved genetic algorithm(IGA)is proposed.First,based on the structure and working principle of the ORC-BPMSG,its mathematical model is deduced,and its reversibility is analyzed.Second,the LS-SVM regression equation is established,and IGA is used to optimize the performance parameters of LS-SVM,so as to train the inverse system.Then,the inverse system is concatenated with the original system to form a pseudo-linear system,which realizes the linearization and decoupling of the ORC-BPMSG.Finally,the proposed control method is compared with the traditional LS-SVM inverse system control method for simulation and experiments.The simulation and experimental results show that the proposed control strategy can better achieve the decoupling control among output voltage and suspension forces,as well as the decoupling control between the suspension forces of the ORC-BPMSG.关键词
外转子无铁心无轴承永磁同步发电机/最小二乘支持向量机/逆系统/改进遗传算法/解耦控制Key words
outer rotor coreless bearingless permanent magnet synchronous generator(ORC-BPMSG)/least squares support vector machine(LS-SVM)/inverse system/improved genetic algorithm/decoupling control分类
信息技术与安全科学引用本文复制引用
朱熀秋,沈良瑜..采用改进遗传算法优化LS-SVM逆系统的外转子无铁心无轴承永磁同步发电机解耦控制[J].中国电机工程学报,2024,44(5):2037-2046,中插32,11.基金项目
国家自然科学基金项目(62273168,61973144). Project Supported by National Natural Science Foundation of China(62273168,61973144). （62273168,61973144）
