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Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor

This paper presents the methodology of design of a discrete-time adaptive quasi-sliding mode controller (QSMC) based on a recursive weighted least square (RWLS) estimator for a dc motor. The proposed control scheme allows handling the classic problem of a QSMCs, which is the steady-state error due t...

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Autor Principal: Minchala Avila, Luis Ismael
Formato: Artículos
Publicado: INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC. 2018
Acceso en línea:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994386149&doi=10.1109%2fCCA.2016.7587925&partnerID=40&md5=10a46c89e7125e63ed2a1c316868d910
http://dspace.ucuenca.edu.ec/handle/123456789/29157
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spelling oai:localhost:123456789-291572018-02-17T11:26:40Z Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor Minchala Avila, Luis Ismael This paper presents the methodology of design of a discrete-time adaptive quasi-sliding mode controller (QSMC) based on a recursive weighted least square (RWLS) estimator for a dc motor. The proposed control scheme allows handling the classic problem of a QSMCs, which is the steady-state error due to the use of a saturation function instead of a switching function in the sliding mode control (SMC) algorithm. The use of linear and nonlinear signal references helps to show the closed-loop performance of the control system and its tracking capabilities. Experimental results show a better performance of the RWLS-QSMC algorithm applied on the speed control of a dc motor than a classic SMC. Buenos Aires 2018-01-11T16:47:34Z 2018-01-11T16:47:34Z 2016-09-19 info:eu-repo/semantics/Article 9781509007554 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994386149&doi=10.1109%2fCCA.2016.7587925&partnerID=40&md5=10a46c89e7125e63ed2a1c316868d910 http://dspace.ucuenca.edu.ec/handle/123456789/29157 10.1109/CCA.2016.7587925 en_US instname:Universidad de Cuenca reponame:Repositorio Digital de la Universidad de Cuenca info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC. 2016 IEEE Conference on Control Applications, CCA 2016 info:eu-repo/date/embargoEnd/2022-01-01 0:00
institution UCUENCA
collection Repositorio UCUENCA
universidades UCUENCA
language
format Artículos
description This paper presents the methodology of design of a discrete-time adaptive quasi-sliding mode controller (QSMC) based on a recursive weighted least square (RWLS) estimator for a dc motor. The proposed control scheme allows handling the classic problem of a QSMCs, which is the steady-state error due to the use of a saturation function instead of a switching function in the sliding mode control (SMC) algorithm. The use of linear and nonlinear signal references helps to show the closed-loop performance of the control system and its tracking capabilities. Experimental results show a better performance of the RWLS-QSMC algorithm applied on the speed control of a dc motor than a classic SMC.
author Minchala Avila, Luis Ismael
spellingShingle Minchala Avila, Luis Ismael
Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor
author_facet Minchala Avila, Luis Ismael
author_sort Minchala Avila, Luis Ismael
title Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor
title_short Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor
title_full Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor
title_fullStr Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor
title_full_unstemmed Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor
title_sort adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a dc motor
publisher INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994386149&doi=10.1109%2fCCA.2016.7587925&partnerID=40&md5=10a46c89e7125e63ed2a1c316868d910
http://dspace.ucuenca.edu.ec/handle/123456789/29157
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score 11,871979

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