ANN-Inversion Based Fractional Order QFT Robust Control for PMSM

被引：0

作者：

Xu, Qinghong ^{[1
]}

Huang, Jiacai ^{[1
]}

Li, Hongsheng ^{[1
]}

Zhou, Lei ^{[1
]}

机构：

[1] Nanjing Inst Technol, Sch Automat, Nanjing 211167, Jiangsu, Peoples R China

来源：

2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年

关键词：

ANN-Inversion; QFT; Fractional Caculus; PMSM; Particle Swarm Optimization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：2396 / 2399

页数：4

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