Adaptive Trajectory Tracking Algorithm for The Aerospace Vehicle Based on Improved T-MPSP

To deal with the uncertainty and disturbance that exist in the tracking system of an aerospace vehicle, an adaptive trajectory-tracking method based on a novel tracking model predictive static programming (T-MPSP) is proposed. Firstly, to make the proposed method more adaptive to uncertain parameter deviations, an extended Kalman filter (EKF) parameter correction strategy is designed. Then, the control constraints are considered to form a novel T-MPSP algorithm. By combining the parameter correction strategy with the improved T-MPSP algorithm, a novel adaptive tracking guidance scheme is presented. Finally, simulations are carried out to demonstrate the effectiveness of the proposed method.

Automated summary

To handle uncertainties and disturbances in the tracking system of an aerospace vehicle, a novel adaptive trajectory-tracking method based on a tracking model predictive static programming (T-MPSP) is proposed. The method incorporates an extended Kalman filter parameter correction strategy and considers control constraints to form a new T-MPSP algorithm. The effectiveness of the proposed method is demonstrated through simulations.