Design and performance analysis of fuzzy supervisory controller for a magnetic levitation system

Abstract

This paper presents a fuzzy supervisory controller for a magnetic levitation system. The proposed method incorporates fuzzy logic over conventional controllers. This method combines advantages of fuzzy logic controller and conventional controllers to improve the performance of a magnetic levitation system. The conventional PID controllers have various limitations and are usually uncertain in terms load and air gap changes due to their constant parameters. To overcome aforementioned limitations, a Fuzzy-Supervisory controller has been designed which tunes the three gains i.e. Kp, Ki and Kd of the PID controller. Rules of the fuzzy controller have been defined to calculate the optimal range of gain values. Performance parameters of the proposed supervisory controller e.g. rise time, maximum peak overshoot and settling time have been evaluated using MATLAB/SIMULINK and compared with the conventional controllers. The simulation results verified the effectiveness of the proposed Fuzzy Supervisory controller under different operating conditions.