Adaptive High Order Sliding Mode Observer of Linear Induction Motor

Abstract

This paper presents a novel adaptive high order sliding mode method for linear induction motor (LIM) to reconstruct the states (currents and fluxes), speed and speed-depended parameter $w$, only using the measured stator voltages and stator currents. The adaptive law is designed to estimate speed and speed-depended parameter $w$, and their stability have been proved with Lyapunov's theory. Then the estimated values $\hat{v},\hat{w}$ are rejected into higher order sliding mode observer (HOSMO). Super twisting algorithm (STA), with its obvious advantage, is applied into HOSMO. Finally, simulation results validated the performance of the proposed adaptive HOSMO scheme.