The Photo-Electric Platform of Tracking Control Based on the Adaptive Kalman Filtering
Because of the improvement of the performance of weapons and ammunition,higher requirements have been put forward for guidance and control systems.A tracking control algorithm based on the adaptive Kalman filtering is proposed for solving the influence of missing distance delay to tracking accuray and rapidity.Firstly,the missing distance is estimated and compensated by using adaptive Kalman filtering.Secondly,the Los-Rate estimated compensation value is feed forward to speed loop through feed forward control.Finally,time-optimal control function is used to achieve Los-Rate non-overshoot.Simulation results show that the photo-electric platform tracking control algorithm combinating adaptive Kalman filtering and time-optimal control function has good tracking performance for strong maneu-vering target.Compared to traditional PI control,the proposed algorithm achieves the tracking accuracy enhancement of 38％and the ra-pidity enhancment 35％.Compared to traditional feed-forward control based on Kalman filtering,the proposed algorithm achieves that over-shoot decrease of 90.8％and the Los-Rate has better dynamic accuracy.Therefore,the control system stability has been enhanced.
guidance and controlmissing distanceadaptive Kalman filteringtime-optimal control functionphoto-electric platform
万方数据
维普
