MAGLEV system modeling and LQR controller design in real time simulation

Most of the work in these years the area of nonlinear control system has been the subject of many studies. Focused on this paper is to use a combination of two techniques to control a non-liner system. The aim of this work is for the system identification, modeling with validation and Linear quadratic regulator (LQR) controller design of maglev system. Magnetic levitation system is an electromagnetic device that suspends a ferromagnetic ball using electromagnetism. The maglev system is a non-linear, unstable system with fast dynamics. The work contains an overview in modeling of maglev system using least square estimation and state feedback controller design and its implementation in real time simulation.