Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM

Abstract Iterative learning control (ILC) has been widely used to improve motion performance when reference trajectories and external disturbances are strictly repetitive. However, the occurrence of non‐repetitive trajectories and disturbances would significantly deteriorate the performance of tradi...

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Autores principales:	Weike Liu, Yunlang Xu, Runze Ding, Feng Shu, Xiaofeng Yang
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	compensator iterative learning control motion control non‐repetitiveness PMLSM robustness Control engineering systems. Automatic machinery (General) TJ212-225
Acceso en línea:	https://doaj.org/article/16f7132dbc6d48afa257f9b4c6380409
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spelling	oai:doaj.org-article:16f7132dbc6d48afa257f9b4c63804092021-11-18T06:47:31ZTime‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM1751-86521751-864410.1049/cth2.12197https://doaj.org/article/16f7132dbc6d48afa257f9b4c63804092021-12-01T00:00:00Zhttps://doi.org/10.1049/cth2.12197https://doaj.org/toc/1751-8644https://doaj.org/toc/1751-8652Abstract Iterative learning control (ILC) has been widely used to improve motion performance when reference trajectories and external disturbances are strictly repetitive. However, the occurrence of non‐repetitive trajectories and disturbances would significantly deteriorate the performance of traditional ILC methods. To solve this problem, a time‐iteration‐domain integrated learning control (TIDLC) scheme is proposed for enhancing robustness against non‐repetitive trajectories and disturbances. The TIDLC scheme consists of an ILC term and a time‐domain compensator (TC) term. While the ILC term that performs learning in the iteration‐domain preserves excellent performance under repetitive tasks, the TC term that is updated in the time‐domain can compensate for the variations of trajectories and disturbances. Stability and performance analyses are discussed in both the time‐domain and iteration‐domain. Experimental results on a permanent magnet linear synchronous motor (PMLSM) positioning system verify the validity of the proposed scheme.Weike LiuYunlang XuRunze DingFeng ShuXiaofeng YangWileyarticlecompensatoriterative learning controlmotion controlnon‐repetitivenessPMLSMrobustnessControl engineering systems. Automatic machinery (General)TJ212-225ENIET Control Theory & Applications, Vol 15, Iss 18, Pp 2344-2354 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	compensator iterative learning control motion control non‐repetitiveness PMLSM robustness Control engineering systems. Automatic machinery (General) TJ212-225
spellingShingle	compensator iterative learning control motion control non‐repetitiveness PMLSM robustness Control engineering systems. Automatic machinery (General) TJ212-225 Weike Liu Yunlang Xu Runze Ding Feng Shu Xiaofeng Yang Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM
description	Abstract Iterative learning control (ILC) has been widely used to improve motion performance when reference trajectories and external disturbances are strictly repetitive. However, the occurrence of non‐repetitive trajectories and disturbances would significantly deteriorate the performance of traditional ILC methods. To solve this problem, a time‐iteration‐domain integrated learning control (TIDLC) scheme is proposed for enhancing robustness against non‐repetitive trajectories and disturbances. The TIDLC scheme consists of an ILC term and a time‐domain compensator (TC) term. While the ILC term that performs learning in the iteration‐domain preserves excellent performance under repetitive tasks, the TC term that is updated in the time‐domain can compensate for the variations of trajectories and disturbances. Stability and performance analyses are discussed in both the time‐domain and iteration‐domain. Experimental results on a permanent magnet linear synchronous motor (PMLSM) positioning system verify the validity of the proposed scheme.
format	article
author	Weike Liu Yunlang Xu Runze Ding Feng Shu Xiaofeng Yang
author_facet	Weike Liu Yunlang Xu Runze Ding Feng Shu Xiaofeng Yang
author_sort	Weike Liu
title	Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM
title_short	Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM
title_full	Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM
title_fullStr	Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM
title_full_unstemmed	Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM
title_sort	time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: with application to a pmlsm
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/16f7132dbc6d48afa257f9b4c6380409
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Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM

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