Position tracking control of PMSM based on fuzzy PID-variable structure adaptive control
type: Item
instance of: scholarly article
title: Position tracking control of PMSM based on fuzzy PID-variable structure adaptive control
zbMATH Open document ID: 1427.93176
DOI: 10.1155/2018/5794067
author: Pei Pei
author: Zhongcai Pei
author: Zhiyong Tang
author: Han Gu
author: Carlos Llopis-Albert
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: A novel Fuzzy PID-Variable Structure Adaptive Control is proposed for position tracking of Permanent Magnet Synchronous Motor which will be used in electric extremity exoskeleton robot. This novel control method introduces sliding mode variable structure control on the basis of traditional PID control. The variable structure term is designed according to the sliding mode surface which is designed by system state equation, so it could compensate for the disturbance and uncertainty. Considering the chattering of sliding mode system, the fuzzy inference method is adopted to adjust the parameters of PID adaptively in real time online, which can attenuate chattering and improve control precision and dynamic performance of system correspondingly. In addition, compared with the traditional sliding mode control, this method takes the fuzzy PID control item to replace the equivalent control item of sliding mode variable structure control, which could avoid the control performance reduction resulted from modeling error and parameter error of system. It is proved that this algorithm can converge to the sliding surface and guarantee the stability of system by Lyapunov function. Simulation results show that Fuzzy PID-Variable Structure Adaptive Control enjoys better control precision and dynamic performance compared with traditional control method, and it improves the robustness of system significantly. Finally, the effectiveness and practicability of the algorithm are verified by the method of Rapid Control Prototyping on the semiphysical simulation test bench.
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93B12
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C42
zbMATH DE Number: 7019184
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/5794067
OpenAlex ID: W2892804907
cites work: Extended state observer-based sliding mode control with new reaching law for PMSM speed control
Wikidata QID: Q129164864
description: scientific article; zbMATH DE number 7019184