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Title: Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor
Authors: Minchala Avila, Luis Ismael
metadata.dc.ucuenca.correspondencia: Valladolid, J.D.; Department of Automative Engineering, Universidad Politecnica SalesianaEcuador; email: jvalladolid@ups.edu.ec
metadata.dc.ucuenca.nombrerevista: 2016 IEEE Conference on Control Applications CCA 2016
Issue Date: 19-Sep-2016
metadata.dc.ucuenca.embargoend: 1-Jan-2022
metadata.dc.source: 2016 IEEE Conference on Control Applications, CCA 2016
metadata.dc.identifier.doi: 10.1109/CCA.2016.7587925
Buenos Aires
metadata.dc.type: Article
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.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994386149&doi=10.1109%2fCCA.2016.7587925&partnerID=40&md5=10a46c89e7125e63ed2a1c316868d910
ISBN: 9781509007554
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