Feedforward Control Method Based on Trajectory Prediction for Pointing and Tracking System

In general control systems, feedforward control is widely used because it can significantly enhance the tracking performance of the system when the closed-loop control performance is limited. In the pointing and tracking system, since the sensor can only measure the deviation information, there is no target motion trajectory available. Therefore, feedforward control cannot be used directly. In addition, the low target detection frequency of the pointing and tracking system also brings difficulties to the application of feedforward control. To solve the above problems, this paper proposes an effective feedforward control implementation method. On the one hand, the target motion trajectory is predicted through the fusion of multiple sensor information, and on the other hand, the frame rate of the trajectory is improved by using Kalman filtering. Finally, the feedforward control is realized by analyzing the boresight state under the ideal tracking state. Through the experimental verification, the feedforward control method proposed in this paper can effectively improve the target tracking accuracy.