Twisting algorithm adaptation for control of electropneumatic actuators

M. Taleb; A. Levant; F. Plestan

doi:10.1109/VSS.2012.6163498

Twisting algorithm adaptation for control of electropneumatic actuators

M. Taleb, A. Levant, F. Plestan^*

^*Corresponding author for this work

School of Mathematical Sciences

Research output: Contribution to journal › Conference article › peer-review

14 Scopus citations

Abstract

The paper proposes a new adaptive version of the twisting algorithm, which is a traditional second order sliding mode controller. Due to dynamic adaptation of the gains, the controller design does not require complete information on the uncertainties/perturbations (bounds). It allows to decrease the gain magnitude and then the oscillations caused by a too large control magnitude: it improves the performance of the closed-loop system (accuracy). To show the feasibility of the approach, the methodology is applied to position control of an electropneumatic actuator.

Original language	English
Article number	6163498
Pages (from-to)	178-183
Number of pages	6
Journal	Proceedings of IEEE International Workshop on Variable Structure Systems
DOIs	https://doi.org/10.1109/VSS.2012.6163498
State	Published - 2012
Event	2012 12th International Workshop on Variable Structure Systems, VSS 2012 - Mumbai, India Duration: 12 Jan 2012 → 14 Jan 2012

Keywords

Second order sliding mode
adaptive control
electropneumatic actuator

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10.1109/VSS.2012.6163498

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abstract = "The paper proposes a new adaptive version of the twisting algorithm, which is a traditional second order sliding mode controller. Due to dynamic adaptation of the gains, the controller design does not require complete information on the uncertainties/perturbations (bounds). It allows to decrease the gain magnitude and then the oscillations caused by a too large control magnitude: it improves the performance of the closed-loop system (accuracy). To show the feasibility of the approach, the methodology is applied to position control of an electropneumatic actuator.",

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AB - The paper proposes a new adaptive version of the twisting algorithm, which is a traditional second order sliding mode controller. Due to dynamic adaptation of the gains, the controller design does not require complete information on the uncertainties/perturbations (bounds). It allows to decrease the gain magnitude and then the oscillations caused by a too large control magnitude: it improves the performance of the closed-loop system (accuracy). To show the feasibility of the approach, the methodology is applied to position control of an electropneumatic actuator.

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Twisting algorithm adaptation for control of electropneumatic actuators

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Keywords

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