Combination Planning for Attitude Maneuver of Deep Space Probes Based on Multi-Objective Optimization

For deep space detectors attitude maneuver tasks, it is necessary to optimize several performance index parameters. In this paper, the multi-objective planning problem of attitude maneuver for deep space detectors is studied, and a multi- target combination planning method is proposed to calculate the attitude maneuver path. For multi-objective programming, the attitude objective function is designed through physical planning method, which transforms multi-objective optimization into a single objective planning problem, and at the same time replaces fitness function as the population selection criterion. The combined differential evolution algorithm is designed to improve the mutation process. The initial attitude path obtained by fast Euler maneuver is added to the mutation formula with a certain probability, so as to improve the convergence rate and program operation efficiency, and realize the multi constraint and multi-objective attitude maneuver path combination planning. Finally, the feasibility and effectiveness of this method are verified by numerical simulation of large angle attitude maneuver of deep space probes.