Design and Simulation of Servo System of Based on Kalman Filter

Abstract

In order to enhance metrical precision of radar on the vessel, Kalman filter based on Singer model is designed to filter angle-error signals in servo system of the radar in this paper. Precision of angle-error signal in the servo system is a key factor influencing precision of tracking and control. But it inevitably corrupted by external disturbances and internal noise during transmission and detection. Kalman filter, which is a kind of linear minimum variance estimation, can estimate state vector at any time when a parameter variable changing with time (state vector) and a linear model (system model) are provided. Therefore, its extremely suitable for filtering the angle-error signals in servo system. Experiments on practical signal show that Kalman filter can reduce noise of the angle-error signals effectively and hence enhancing metrical precision of the radar.