Implementation of the State Feedback Control Scheme for a Magnetic Levitation System

In this paper, we develop a state feedback control scheme based on alphabeta filter for controlling the magnetic levitation system CE152. Unlike the observer-based control scheme which employs the system dynamics to form the state estimator, the proposed alphabetagamma filter estimate the corresponding states based-on a Newtonian system. According to the alphabeta filter, we not only can estimate the unmeasured state variables, but also can reduce the noisy signals. In addition to simulation, we practically implemented the controller in an experimental magnetic levitation system and investigated its tracking performance. The experimental results on the controlled system indicate the developed state feedback controller with alphabeta filter is effective in face of external disturbances as well as nonlinearities inherent in the magnetic levitation system.