dc.creatorMinchala Avila, Luis Ismael
dc.date.accessioned2018-01-11T16:47:34Z
dc.date.accessioned2022-10-20T21:26:21Z
dc.date.available2018-01-11T16:47:34Z
dc.date.available2022-10-20T21:26:21Z
dc.date.created2018-01-11T16:47:34Z
dc.date.issued2016-09-19
dc.identifier9781509007554
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84994386149&doi=10.1109%2fCCA.2016.7587925&partnerID=40&md5=10a46c89e7125e63ed2a1c316868d910
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/29157
dc.identifier10.1109/CCA.2016.7587925
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4603343
dc.description.abstractThis 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.
dc.languageen_US
dc.publisherINSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
dc.source2016 IEEE Conference on Control Applications, CCA 2016
dc.titleAdaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor
dc.typeArticle


Este ítem pertenece a la siguiente institución