Predictive Variable Gain Iterative Learning Control for PMSM

A predictive variable gain strategy in iterative learning control (ILC) is introduced. Predictive variable gain iterative learning control is constructed to improve the performance of trajectory tracking. A scheme based on predictive variable gain iterative learning control for eliminating undesir...

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Main Authors: Huimin Xu, Xuedong Zhang, Xiangjie Liu
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2015/353712
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author Huimin Xu
Xuedong Zhang
Xiangjie Liu
author_facet Huimin Xu
Xuedong Zhang
Xiangjie Liu
author_sort Huimin Xu
collection DOAJ
description A predictive variable gain strategy in iterative learning control (ILC) is introduced. Predictive variable gain iterative learning control is constructed to improve the performance of trajectory tracking. A scheme based on predictive variable gain iterative learning control for eliminating undesirable vibrations of PMSM system is proposed. The basic idea is that undesirable vibrations of PMSM system are eliminated from two aspects of iterative domain and time domain. The predictive method is utilized to determine the learning gain in the ILC algorithm. Compression mapping principle is used to prove the convergence of the algorithm. Simulation results demonstrate that the predictive variable gain is superior to constant gain and other variable gains.
format Article
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institution OA Journals
issn 1687-5249
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language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series Journal of Control Science and Engineering
spelling doaj-art-2762adeceffb4ccf9edd331c718cb8ac2025-08-20T02:04:48ZengWileyJournal of Control Science and Engineering1687-52491687-52572015-01-01201510.1155/2015/353712353712Predictive Variable Gain Iterative Learning Control for PMSMHuimin Xu0Xuedong Zhang1Xiangjie Liu2The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaSchool of Energy and Power Engineering, North China Electric Power University, Baoding 071003, ChinaThe State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaA predictive variable gain strategy in iterative learning control (ILC) is introduced. Predictive variable gain iterative learning control is constructed to improve the performance of trajectory tracking. A scheme based on predictive variable gain iterative learning control for eliminating undesirable vibrations of PMSM system is proposed. The basic idea is that undesirable vibrations of PMSM system are eliminated from two aspects of iterative domain and time domain. The predictive method is utilized to determine the learning gain in the ILC algorithm. Compression mapping principle is used to prove the convergence of the algorithm. Simulation results demonstrate that the predictive variable gain is superior to constant gain and other variable gains.http://dx.doi.org/10.1155/2015/353712
spellingShingle Huimin Xu
Xuedong Zhang
Xiangjie Liu
Predictive Variable Gain Iterative Learning Control for PMSM
Journal of Control Science and Engineering
title Predictive Variable Gain Iterative Learning Control for PMSM
title_full Predictive Variable Gain Iterative Learning Control for PMSM
title_fullStr Predictive Variable Gain Iterative Learning Control for PMSM
title_full_unstemmed Predictive Variable Gain Iterative Learning Control for PMSM
title_short Predictive Variable Gain Iterative Learning Control for PMSM
title_sort predictive variable gain iterative learning control for pmsm
url http://dx.doi.org/10.1155/2015/353712
work_keys_str_mv AT huiminxu predictivevariablegainiterativelearningcontrolforpmsm
AT xuedongzhang predictivevariablegainiterativelearningcontrolforpmsm
AT xiangjieliu predictivevariablegainiterativelearningcontrolforpmsm