Tracking of LEO satellite by Az-El Pedestal PMSM motor

This paper presents the application of the Linear Quadratic Gaussian (LQG) controller for the states and speed permanent magnet synchronous motor (PMSM) drive system. The nonlinear model of the motor has been linearized on the basis of field orientation principle. The standard Kalman filter technique has been used to estimate the speed, position, and load torque by measuring only the stator current. The optimal state feedback gains(LQR) and the Kalman state space model have been calculated off-line in order to reduce the computational burden. The proposed controller has the advantages of robustness, easy implementation and adequate performance in the face of uncertainties. Moreover, the load disturbance can be rejected without affecting the overall performance and for the end paper we design a LQG controller for elimination of the wind disturbance and Torque disturbance over the Az-El pedestal. The main aim of this paper is tracking satellite in LEO with pedestal by LQG controller . We use STK software to generate the Az-El data.

Keywords:

Az-El Pedestal , LQG Control , permanent magnet synchronous motor , and Kalman filter