Model Reference Adaptive Control of HMB based on PSO-LS-SVM Inverse

摘要：

　　To realize the hybrid magnetic bearing (HMB) nonlinear decoupling control with high precision,a strategy of model reference adaptive control (MRAC) based on the least square support vector machine (LS-SVM) inverse is proposed.After analyzing the reversibility of HMB,the LS-SVM regression theory is used to identify the inverse model,the parameters of LS-SVM are optimized by Particle Swarm Optimization (PSO) algorithm.Then the nonlinear system is transformed into a pseudo-linear system by connecting the optimized the inverse model and the original unit.MRAC is designed to realize the compound linear control for HMB.Simulation results confirm that the identified inverse model has high precision and the compound control strategy has good performance.

关键词： Inverse system LS-SVM MRAC PSO algorithm

作者: Xianxing Liu Jie Chen Yi Du Kai Shi

作者单位: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China

会议类型: 国际会议

会议名称: 第九届国际直线电机驱动与工业应用会议(LDIA2013)

会议地点: 杭州

会议语种:英文

页码: 1-5

在线出版日期: 2013-07-07（万方平台首次上网日期，不代表论文的发表时间）