Control of Magnetic Levitation System Using Fuzzy Logic Control

This paper presents the investigation on a system model for the stabilisation of a Magnetic Levitation System (Maglev's). Furthermore, the investigation on Proportional Integrated Derivative Controller (PID) also reported here. In this paper shows to design both PID and Fuzzy Logic Control (FLC) based on the system model. Maglev's give the contribution in industry and this system has reduce the power consumption, has increase the power efficiency and reduce the cost maintenance. The common applications for Maglev's are Maglev's Power Generation, Maglev's trains and Maglev's ball bearing less system. In this study, it has also been observed that the basic design of Maglev's is an arrangement of electromagnets placed on top of the plant and makes the ball levitated in the air. The focus of this study is that to design the controller that can cope with Maglev's which highly nonlinear and inherently unstable. The modeling system is simulated using MATLAB simulink. This paper presents the comparison output for both PID Controller and Fuzzy controller to control the ball levitate on the air. The ISE performance index is shown to compare the performance both controller.