面向航天器在轨加注的电磁对接模型预测控制

Aiming at the multi-objective optimal control problem of electromagnetic docking for elliptical-orbit spacecraft under multi-source complex bounded disturbances in on-orbit refueling missions, an enhanced tube-based model predictive control (TMPC） strategy is proposed. An electromagnetic docking dynamic model containing multi-source bounded disturbances and time-varying orbital parameters is established. A constraint tightening method based on adaptive robust invariant sets is designed to adapt the time-varying angular velocity characteristics of elliptical orbits by adjusting the contraction strategy, so as to guarantee the recursive feasibility under bounded disturbances. Furthermore, a multi-objective optimization function of energy consumption and precision is constructed to realize the trade-off between energy consumption and docking accuracy, and the online update of control law is implemented in the receding horizon framework. The iterative stability of the algorithm is verified by theoretical analysis, and the system stability is proved by the Lyapunov method. Finally, numerical simulation results demonstrate the effectiveness of the proposed strategy for spacecraft electromagnetic docking in on-orbit refueling.