Sensor Fault Tolerant Control For Induction Motor using descriptor approach

Abstract

In this paper, we deal with a Fault Tolerant Control (FTC) design for an Induction Motor (IM). In spite of the sensor fault and rotor speed variation, this control strategy is able to compensate the fault effect while ensuring the tracking of the desired trajectory, delivered by a Takagi Sugeno (TS) fuzzy reference model. The physical model of the IM is expressed first by a TS fuzzy model and then a TS descriptor observer is developed so that the estimation of the system states and the sensor fault is reached simultaneously. The developed control strategy depends on the Lyapunov theory and H∞ approach, to minimize the disturbances effect. Based on Linear Matrix Inequality (LMI), the controller and the descriptor observer gains are calculated in one phase. At last, simulations have been carried out to show the tracking performance of the designed control strategy.