Adaptive Twisting Controller for Linear Induction Motor Considering Dynamic End Effects

Abstract

This paper presents an adaptive twisting controller scheme for linear induction motor (LIM) to deal with unknown boundary disturbance, considering the influence of the dynamic end effects. LIM's model can be divided into two subsystems: flux extended model and speed extended model. Two adaptive twisting algorithms are applied into these two subsystems to achieve speed tracking and flux tracking with finite time convergence, in the presence of the unknown bounded disturbance. Simulation results validated the performance of the proposed adaptive twisting controller scheme.