Design of Neuro PID Controller and State Feedback Controller for Magnetic Levitation System

Nowadays, Magnetic levitation systems are getting more importance due to its practical importance. The magnetic levitation system is basically a transportation system for guiding and propelling the vehicles. Its main application is in the field of railways. It eliminates the maintenance problems caused due to the friction as it does not contain any moving or joining parts. The other problems taken into account are endurance, lubrication, stiffness, damping factor, etc. The key component of the maglev system is the controller. The controller positions the steel ball at the required height by using the current through the coil. The dynamic performance of the maglev system is influenced by the controller design. This system is highly nonlinear and it is very difficult to design a high-performance controller. In this work, the controllers are designed for the maglev system using the neuro PID Controller and state variable feedback control using pole placement method. The desired performance indices taken are reduced overshoot and shorter settling time. From the responses obtained, neuro PID controller is found to have better output response than state feedback controller by pole placement method.