Full state feedback control of a magnetic bearing system using optimal estimation

A continuous-continuous extended Kalman filter (CCEKF) is developed for optimal state estimation for use with full state feedback control of a magnetic bearing system. The model describing the magnetic bearing system is a set of four nonlinear differential equation which include integral augmentation of the plant. All simulations are performed with process noise, measurement noise, and an initial perturbation from the nominal operating position acting on the system. Additionally, the effects of a static load disturbance force and a sinusoidal disturbance force on system performance are investigated. The results indicate the CCEKF used in conjunction with full state feedback provides regulation of the system about the nominal operating position for static load and sinusoidal disturbance forces in the presence of process and measurement noise