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

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

Research Group in Transportation Engineering (GIIT)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Translated title of the contribution	Control de modo cuasideslizante adaptativo basado en un estimador de mínimos cuadrados ponderados recursivos para un motor de corriente continua.
Original language	English
Title of host publication	2016 IEEE Conference on Control Applications, CCA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	886-890
Number of pages	5
ISBN (Electronic)	9781509007554
DOIs	https://doi.org/10.1109/CCA.2016.7587925
State	Published - 10 Oct 2016
Event	2016 IEEE Conference on Control Applications, CCA 2016 - Buenos Aires, Argentina Duration: 19 Sep 2016 → 22 Sep 2016

Publication series

Name	2016 IEEE Conference on Control Applications, CCA 2016

Conference

Conference	2016 IEEE Conference on Control Applications, CCA 2016
Country/Territory	Argentina
City	Buenos Aires
Period	19/09/16 → 22/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

CACES Knowledge Areas

417A Electronics, Automation and Sound

Access to Document

10.1109/CCA.2016.7587925

Cite this

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. In 2016 IEEE Conference on Control Applications, CCA 2016 (pp. 886-890). Article 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",

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doi = "10.1109/CCA.2016.7587925",

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Valladolid, JD , Ortiz, JP & Minchala, LI 2016, Adaptive quasi-sliding mode control based on a recursive weighted least square estimator for a DC motor. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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DO - 10.1109/CCA.2016.7587925

M3 - Conference contribution

AN - SCOPUS:84994386149

T3 - 2016 IEEE Conference on Control Applications, CCA 2016

SP - 886

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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. In 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

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

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