Heuristic Algorithm for Optimizing the Processing of Measurement and Control Arcs

During the generation and optimization of measurement and control tracking plans, it is difficult to balance computational efficiency and optimization goals. To overcome this challenge, a mathematical model was constructed considering the account task attributes, coupling relationships, and constraints. Furthermore, a universal heuristic optimization function based on the principles of task satisfaction and efficiency was developed to guide the solving process. Backtracking and parameter tuning of the algorithms were applied to reduce the solution space, accelerate the convergence of feasible solutions, and ultimately obtain an optimized solution for spacecraft tracking and control plans. A comparison of the results predicted by the complete solution algorithm with those obtained experimentally proved that the developed algorithm achieves a good balance between computational efficiency and fast results.