Robust Sensor Fault-Tolerant Control of Induction Motor Drive

This paper presents an active fuzzy fault-tolerant control (FTC) strategy for induction motor that ensures the performances of the field-oriented control (FOC). In the proposed approach, a robust controller is synthesized in order to compensate for both the resistance variation, the load torque disturbance, and the sensor fault. The physical model of induction motor is approximated by the Takagi–Sugeno (T–S) fuzzy technique in the synchronous d-q rotating frame. Fuzzy descriptor observer is introduced to estimate simultaneously the system state and the sensor faults. A robust feedback state tracking control is proposed to guarantee the control performances by minimizing the effect of the load torque and the uncertainties. The proposed controller is based on a T–S reference model in which a desired trajectory has been specified. The performances of the trajectory tracking are analyzed using the Lyapunov theory and the L 2 optimization. Observer and controller gains are obtained by solving a set of LMIs constraint. To highlight the effectiveness of the proposed control simulation, results are introduced for a 1.5 KW induction motor.