Interval type-2 fuzzy adaptive strategy for fault tolerant control based on new faulty model design: Application to DSIM under broken rotor bars fault

Abstract

This paper presents a fault tolerant control (FTC) based on the type-2 fuzzy logic system (IT2FLS) using an adaptive control law for a double star induction machine (DSIM) under broken rotor bars (BRB) fault of a squirrel-cage in order to improve its reliability and availability. The adaptive fuzzy control is designed to compensate for the fault effect. The proposed FTC is able to maintain acceptable performance in the event of BRB. The stability of the closed-loop is verified by exploitation of Lyapunov theory. To proof the performance and effectiveness of the proposed FTC, a comparative study within sliding mode control (SMC) is carried out. Obtained results show that the proposed FTC has a better robustness against the BRB fault.

Interval Type-2 Fuzzy Logic-Second Order Sliding Mode Based Fault Detection and Active Fault-Tolerant Control of Brushless DC Motor

“… Layadi et al [44] applied methods from artificial intelligence theory such as type-2 fuzzy adaptive control and control with artificial neural networks in the case of a rotor defect of a double star asynchronous machine, with the hybridization of these techniques, where the fuzzy parameters are adjusted by adaptive laws which ensure the convergence and the delimitation of all the signals of the DSAM in closed loop.…”

Fault Tolerant Control Using Artificial Neural Network for Induction Machine

“…Defects can always alter control systems so in case of failure the control system will have a severe problem. to maintain control performance, this is achieved by the faulttolerant control (FTC) [3]. There are two types of FTC system: either passive or active, Passive FTC has involved robust control techniques to accommodate systems whose sensitivity to certain types of defects is zero [4].…”