dc.creator | Minchala Avila, Luis Ismael | |
dc.date.accessioned | 2018-01-11T16:47:34Z | |
dc.date.accessioned | 2022-10-20T21:26:21Z | |
dc.date.available | 2018-01-11T16:47:34Z | |
dc.date.available | 2022-10-20T21:26:21Z | |
dc.date.created | 2018-01-11T16:47:34Z | |
dc.date.issued | 2016-09-19 | |
dc.identifier | 9781509007554 | |
dc.identifier | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994386149&doi=10.1109%2fCCA.2016.7587925&partnerID=40&md5=10a46c89e7125e63ed2a1c316868d910 | |
dc.identifier | http://dspace.ucuenca.edu.ec/handle/123456789/29157 | |
dc.identifier | 10.1109/CCA.2016.7587925 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4603343 | |
dc.description.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. | |
dc.language | en_US | |
dc.publisher | INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC. | |
dc.source | 2016 IEEE Conference on Control Applications, CCA 2016 | |
dc.title | Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor | |
dc.type | Article | |