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

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Abstract

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.

Translated title of the contributionControl de modo cuasideslizante adaptativo basado en un estimador de mínimos cuadrados ponderados recursivos para un motor de corriente continua.
Original languageEnglish
Title of host publication2016 IEEE Conference on Control Applications, CCA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages886-890
Number of pages5
ISBN (Electronic)9781509007554
DOIs
StatePublished - 10 Oct 2016
Event2016 IEEE Conference on Control Applications, CCA 2016 - Buenos Aires, Argentina
Duration: 19 Sep 201622 Sep 2016

Publication series

Name2016 IEEE Conference on Control Applications, CCA 2016

Conference

Conference2016 IEEE Conference on Control Applications, CCA 2016
Country/TerritoryArgentina
CityBuenos Aires
Period19/09/1622/09/16

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