Indirect adaptive fuzzy sliding-mode control for induction motor drive

Abstract EN

In this article, a novel adaptive Fuzzy Sliding Mode Control (F-SMC) scheme is proposed based on the integration of Sliding Mode Control (SMC) and adaptive fuzzy control to solve the speed and flux control for Induction Motor (IM).

The control task of such motors is considered complicated by the fact that these motors have uncertain time-varying parameters and are subjected to unknown load disturbance.

To construct the adaptive fuzzy control law, an adaptive fuzzy inference engine is used to approximate the unknown parts of the IM system.

The main advantage of our proposed controller is that the structure of the system is unknown and no knowledge of the bounds of parameters, uncertainties and external disturbance are required in advance.

Using Lyapunov stability theory, the closed-loop system is proved to be stable and convergence properties of the system is assured.

Simulation results are presented to validate the effectiveness of the proposed controller even in the presence of motor parameter variations and unknown load disturbance.