TS Fuzzy Fault-Tolerant Tracking Control of a PV Pumping System Based on an Induction Motor

Abstract

This paper focuses on the Fault-Tolerant Tracking Control (FTTC) design for a PV pumping system using an Induction Motor (IM) drive. This control strategy offsets the effect of the sensor faults and ensures the transfer of optimal power to unit motor–pump. First, to simultaneously estimate the system states and the sensor faults, we developed a Takagi Sugeno (TS) fuzzy descriptor observer. After that, a fault-tolerant controller is synthesized and it is able to track the desired trajectory delivered by a TS fuzzy reference model. The developed control strategy is based on the Lyapunov theory and the H∞ approach, to minimize the disturbances effect. Linear Matrix Inequality (LMI) was solved to calculate the controller and the observer gains. At last, simulations have been done to illustrate the Fault-Tolerant Tracking Control performance of the developed control strategy.