Spacecraft Droplet Hover Trajectory Optimization Based on Chaotic Genetic Algorithm

This paper proposes an optimization algorithm for a new type of droplet hover where the service spacecraft is driven by electric and chemical propulsion, bringing great difficulties to mission implementation for it is hard to determine the impulse release time and the impulse value. First, considering the impact of space perturbation, a spacecraft trajectory dynamic model based on J2 perturbation is established. Referring to the spacecraft trajectory dynamic model, to reduce the fuel consumption of the service spacecraft, this paper proposes a new orbital transfer strategy based on electric and chemical propulsion mixed drive method. For the orbit transfer problem above, to achieve higher optimization speed, a chaotic genetic algorithm is introduced. The chaotic genetic algorithm, which adds chaotic optimization on the basis of the genetic algorithm, is adopted to adjust the impulse. The chaotic genetic algorithm is more difficult to fall into local optimum and has a faster search speed compared to the genetic algorithm. Finally, through a set of spacecraft data, the specific maneuver strategy of droplet hover is given, and the feasibility of the strategy is verified by simulation.