Title of article :
Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system
Author/Authors :
Ben Zina, H Laboratary of Science and technique of Automatic Control and Computer Engineering (Lab-STA) - National School of Engineering of Sfax, Tunisia , Bouattour, M Laboratary of Science and technique of Automatic Control and Computer Engineering (Lab-STA) - National School of Engineering of Sfax, Tunisia , Chaabane, M Laboratary of Science and technique of Automatic Control and Computer Engineering (Lab-STA) - National School of Engineering of Sfax, Tunisia
Abstract :
This paper presents a robust Fault Tolerant Tracking Control (FTTC) design for nonlinear uncertain systems described
by Takagi Sugeno (T-S) fuzzy models with unmeasurable premise variables subject to sensor faults. A Proportional
Integral Observer (PIO) is proposed to estimate the faulty states and the time-varying sensor faults. The FTTC is
synthesized based on the estimation derived from the PIO with a guaranteed H∞ performance to minimize the effect of
the external disturbance. The trajectory tracking performances and the stability of the closed loop system are analyzed
based on the Lyapunov theory and the L2 optimization. The stability condition are formulated in terms of Linear
Matrix Inequality (LMI). The proposed robust FTTC is illustrated using simulation results.
Keywords :
LMIs contrainst , proportional integral observer (PIO) , parametric uncertainties , fault tolerant tracking control (FTTC) , T-S fuzzy model
