Spacecraft Anti-Reconnaissance Game Based on Particle Swarm Optimization Algorithm

This paper proposes an optimization strategy using competitive particle swarm algorithm for the anti-reconnaissance problem in the near-range game scenario of spacecraft. Firstly, the constraint analysis is carried out for the anti-reconnaissance game scenario, and game model are designed. Then, an adaptive sliding mode pointing controller is designed, and the effectiveness of the controller is verified through simulation examples. For the survival game, the two-point boundary value problem is derived. To facilitate the solution, it is further transformed into a single-objective optimization problem, and solved by using competitive particle swarm optimization algorithm. The simulation results verify the effectiveness of the solution method.