Fault tolerant control of WES parametric uncertainties

Abstract

A new Fuzzy Fault Tolerant Control (FFTC) algorithm is proposed for nonlinear Takagi-Sugeno (TS) systems with parameter uncertainties. The modifications made in this approach enable robust handling of multiple simultaneous sensor failures. The control law aims to compensate for sensor faults and allows the system states to track a reference corresponding to a fault free situation. The proposed FFTC strategy is based on the fault estimate and the error between the faulty system state and a reference system state. A Fuzzy Proportional Integral Observer (FPIO) design is proposed to estimate the state and sensor faults. Sufficient conditions are derived for robust stabilization in the sense of Lyapunov asymptotic stability and are formulated in the format of Linear Matrix Inequalities (LMIs). The gains of the FFTC and FPIO are obtained by solving these LMIs. Simulation results for a Wind-Diesel-Storage-Hybrid System (WDSHS) are presented to illustrate the effectiveness of the proposed method.