Sampled Data Sliding Mode Control of Magnetic Levitation System Using Extended Kalman Filter Estimator

Abstract

In this paper, A Sliding Mode Control of Magnetic Levitation system for sampled data output feedback configuration is presented. Both regulation and tracking problems are considered. As all states are not available while control scheme is implemented on real time systems or a noisy output data is obtained because of sensor noise at the plant's output. For this purpose Extended Kalman Filter based estimator is employed to estimate the noise free and unknown states of plant. The control system is also tested under parametric perturbations/uncertainties and external disturbance to prove its robustness. Computer simulations show robust performance of control system.