Designing fuzzy-sliding mode controller with adaptive sliding surface for vector control of induction motors considering structured and non-structured uncertainties

Induction motors with nonlinear dynamics are superior in terms of size, weight, motor inertia, maximum speed, efficiency, and cost than direct current machines, and hence their control is of great important. The main objective of this paper is to design a fuzzy sliding mode controller in order to control the position of the induction motor including parametric and non-parametric uncertainties by considering the stability issue. In fact, in this method, in order to increase the performance of the control system and to improve the tracking performance, a moving sliding surface is considered, in which it is adapted in accordance with the variations of the sliding surface. As a result, during the reaching phase, the system is not sensitive to parameter variations and external disturbances. Simulation results show that the proposed control method has good performance in the face of parametric and non-parametric uncertainties.