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...
Guardado en:
| Autor Principal: | |
|---|---|
| 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 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | 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. |
|---|