Modelling and Control of Double Star Induction Machine used Active Fault Tolerant Control based on Backstepping Controller and Non Linear Adaptive Observer

Abstract

In this study, a double star induction machine (DSIM) is given an active fault tolerant control (FTC) method to counteract the impacts of faults and increase the machine's dependability and availability based on estimated fault information. The suggested FTC architecture is built upon a backstepping control (BSC) that employs a nonlinear Thau observer and an adaptive fault estimation law. Applying Lyapunov theory, it is possible to assess and confirm the stability of system during incorrect operation. A numerical simulation created in MATLAB/Simulink validates the efficacy and resilience of the suggested FTC technique in steady state.