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

Juan D. Valladolid; Juan P. Ortiz; Luis I. Minchala

doi:10.1109/CCA.2016.7587925

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

Título traducido de la contribución: Control de modo cuasideslizante adaptativo basado en un estimador de mínimos cuadrados ponderados recursivos para un motor de corriente continua.

Juan D. Valladolid
, Juan P. Ortiz
, Luis I. Minchala

Grupo de Investigación en Ingeniería del Transporte (GIIT)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Título traducido de la contribución	Control de modo cuasideslizante adaptativo basado en un estimador de mínimos cuadrados ponderados recursivos para un motor de corriente continua.
Idioma original	Inglés
Título de la publicación alojada	2016 IEEE Conference on Control Applications, CCA 2016
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	886-890
Número de páginas	5
ISBN (versión digital)	9781509007554
DOI	https://doi.org/10.1109/CCA.2016.7587925
Estado	Publicada - 10 oct. 2016
Evento	2016 IEEE Conference on Control Applications, CCA 2016 - Buenos Aires, Argentina Duración: 19 sep. 2016 → 22 sep. 2016

Serie de la publicación

Nombre	2016 IEEE Conference on Control Applications, CCA 2016

Conferencia

Conferencia	2016 IEEE Conference on Control Applications, CCA 2016
País/Territorio	Argentina
Ciudad	Buenos Aires
Período	19/09/16 → 22/09/16

Nota bibliográfica

Publisher Copyright:
© 2016 IEEE.

Areas de Conocimiento del CACES

417A Electrónica, automatización y sonido

Acceder al documento

10.1109/CCA.2016.7587925

Otros archivos y enlaces

https://www.scopus.com/pages/publications/84994386149

Citar esto

Valladolid, J. D., Ortiz, J. P., & Minchala, L. I. (2016). Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor. En 2016 IEEE Conference on Control Applications, CCA 2016 (pp. 886-890). Artículo 7587925 (2016 IEEE Conference on Control Applications, CCA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCA.2016.7587925

@inproceedings{a3e4000258414ca1b219b274127b4105,

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

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.",

author = "Valladolid, \{Juan D.\} and Ortiz, \{Juan P.\} and Minchala, \{Luis I.\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Conference on Control Applications, CCA 2016 ; Conference date: 19-09-2016 Through 22-09-2016",

year = "2016",

month = oct,

day = "10",

doi = "10.1109/CCA.2016.7587925",

language = "English",

series = "2016 IEEE Conference on Control Applications, CCA 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "886--890",

booktitle = "2016 IEEE Conference on Control Applications, CCA 2016",

address = "United States",

}

Valladolid, JD , Ortiz, JP & Minchala, LI 2016, Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor. En 2016 IEEE Conference on Control Applications, CCA 2016., 7587925, 2016 IEEE Conference on Control Applications, CCA 2016, Institute of Electrical and Electronics Engineers Inc., pp. 886-890, 2016 IEEE Conference on Control Applications, CCA 2016, Buenos Aires, Argentina, 19/09/16. https://doi.org/10.1109/CCA.2016.7587925

Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor. / Valladolid, Juan D.; Ortiz, Juan P.; Minchala, Luis I.
2016 IEEE Conference on Control Applications, CCA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 886-890 7587925 (2016 IEEE Conference on Control Applications, CCA 2016).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor

AU - Valladolid, Juan D.

AU - Ortiz, Juan P.

AU - Minchala, Luis I.

PY - 2016/10/10

Y1 - 2016/10/10

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84994386149

U2 - 10.1109/CCA.2016.7587925

DO - 10.1109/CCA.2016.7587925

M3 - Conference contribution

AN - SCOPUS:84994386149

T3 - 2016 IEEE Conference on Control Applications, CCA 2016

SP - 886

EP - 890

BT - 2016 IEEE Conference on Control Applications, CCA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE Conference on Control Applications, CCA 2016

Y2 - 19 September 2016 through 22 September 2016

ER -

Valladolid JD , Ortiz JP, Minchala LI. Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor. En 2016 IEEE Conference on Control Applications, CCA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 886-890. 7587925. (2016 IEEE Conference on Control Applications, CCA 2016). doi: 10.1109/CCA.2016.7587925