Electronic Throttle Valve Takagi-Sugeno Fuzzy Control Based on Nonlinear Unknown Input Observers

Authors

  • Wafa Gritli Université de Tunis El Manar, Ecole Nationale d’Ingénieurs de Tunis, LA.R.A Automatique http://orcid.org/0000-0003-3081-9706
  • Hajer Gharsallaoui Université de Tunis El Manar, Ecole Nationale d’Ingénieurs de Tunis, LA.R.A Automatique
  • Mohamed Benrejeb Université de Tunis El Manar, Ecole Nationale d’Ingénieurs de Tunis, LA.R.A Automatique
  • Pierre Borne Ecole Centrale de Lille, Cité scientifique CS20048, 59651 Villeneuve d’Ascq Cedex

Keywords:

Electronic throttle valve, switched system, Takagi-Sugeno fuzzy model, nonlinear unknown input observer, Lyapunov method

Abstract

This paper deals with the synthesis of a new fuzzy controller applied to Electronic Throttle Valve (ETV) affected by an unknown input in order to enhance the rapidity and accuracy of trajectory tracking performance. Firstly, the Takagi-Sugeno (T-S) fuzzy model is employed to approximate this nonlinear system. Secondly, a novel Nonlinear Unknown Input Observer (NUIO)-based controller is designed by the use of the concept of Parallel Distributed Compensation (PDC). Then, based on Lyapunov method, asymptotic stability conditions of the error dynamics are given by solving Linear Matrix Inequalities (LMIs). Finally, the effectiveness of the proposed control strategy in terms of tracking trajectory and in the presence of perturbations is verified in comparison with a control strategy based on Unknown Input Observers (UIO) of the ETV described by a switched system for Pulse-Width-Modulated (PWM) reference signal.

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Published

2018-09-29

Issue

Vol. 13 No. 5 (2018): International Journal of Computers Communications & Control (October)

Section

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