SYNTHESIS OF FEEDBACK LINEARIZATION CONTROLLER WITH PARAMETERS OPTIMIZATION BASED ON BAT ALGORITHM FOR A MAGNETIC LEVITATION SYSTEM

Abstract

In this paper, the method design controller based on the feedback linearization control (FLC) method with optimal parameter for time response thanks to BAT algorithm for magnetic levitation system (MLS). Feedback linearization controller based on equivalent transformations brings a nonlinear system into linear form, then uses the poles-placement method to find parameters for the linear tracking controller. The selected pole does not optimize the controller parameters when the system needs to satisfy a rapid response condition. Therefore, the authors use the BAT algorithm to find linear tracking controller parameters based on ITAE cost function. The controller with optimized parameters is verified through simulation and experiment results. The proposed controller efficiency is compared with the feedback linearization controller through the simulation results.