ANN-Inversion Based Fractional Order QFT Robust Control for PMSM

摘要：

　　To improve the performance of the PMSM,an ANN-Inversion based fractional order QFT(FOQFT) robust control scheme for the PMSM is proposed.Firstly,a BP neural network is used to approximate the inverse system of PMSM,and the composite pseudo-linear system,consisted of the ANN-Inversion system and the controlled PMSM system,is equivalent to a linear system with disturbance.Then,a FOQFT control scheme is proposed based on the QFT method and fractional calculus,and the parameters of the FOQFT controller are optimized by Particle Swarm Optimization (PSO) algorithm.Finally,case study is conducted on a PMSM system and results show the effectiveness of the proposed control scheme.

关键词： ANN-Inversion QFT Fractional Caculus PMSM Particle Swarm Optimization

作者: Qinghong Xu Jiacai Huang Hongsheng Li Lei Zhou

作者单位: School of Automation,Nanjing Institute of Technology,Nanjing 211167,P. R. China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 2396-2399

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）