Fuzzy Fault Tolerant Control Based Takagi-Sugeno Observer for Automotive Electronic Throttle Valve

Hajer GHARSALLAOUI¹*, Wafa GRITLI¹, Mohamed BENREJEB¹, Pierre BORNE²
¹ The National Engineering School of Tunis, Tunis El Manar University, B.P. 37, le Belvédère, Tunis, 1002, Tunisia
hajer.gharsallaoui@eniso.u-sousse.tn (*Corresponding author), wafa.gritli@enit.rnu.tn,
mohamed.benrejeb@enit.utm.tn
² École Centrale de Lille, University of Lille, B.P. 48, Villeneuve d’Ascq, Lille, 59651, France
pierre.borne@univ-lille.fr

Abstract: In this paper, a novel Fuzzy Fault Tolerant Control (FFTC) approach for an Electronic Throttle Valve (ETV), based on Takagi-Sugeno (T-S) fuzzy models, is proposed in order to regulate the throttle valve opening angle position. Indeed, automotive ETV systems have several benefits in terms of enhancing fuel economy and thus reducing carbon dioxide emissions. However, an ETV control system would face challenges in the context of control performance as it features various non-smooth nonlinearities such as friction, nonlinear springs, gear backlashes and external perturbations. Consequently, the proposed FFTC approach involves a PDC-based control law combined with a T-S fuzzy observer, with the purpose of estimating system states and of detecting actuator faults. The observer and controller gains are obtained by solving Linear Matrix Inequalities (LMIs) derived from Lyapunov’s stability theory. The obtained simulation results for an ETV control process are included in order to show the effectiveness of the proposed FFTC approach in terms of reference trajectory tracking even in the presence of actuator faults.

Keywords: Electronic throttle valve, FFTC, Takagi-Sugeno observer, Stability convergence, LMIs, Actuator faults, Trajectory tracking.

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CITE THIS PAPER AS:
Hajer GHARSALLAOUI, Wafa GRITLI, Mohamed BENREJEB, Pierre BORNE, Fuzzy Fault Tolerant Control Based Takagi-Sugeno Observer for Automotive Electronic Throttle Valve, Studies in Informatics and Control, ISSN 1220-1766, vol. 33(1), pp. 5-14, 2024. https://doi.org/10.24846/v33i1y202401