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提出一种解决软着陆制动段燃料最优制导以及闭环控制的方案。首先使用庞氏极大值原理将制动段燃料最优问题转化为一个初值问题,并使用遗传算法搜索求解;其次为了解决最优制导的闭环控制问题,将最优弹道作为标称弹道,使用RCS系统对轨道面内两个方向误差量进行解耦,分别使用极限环控制。仿真表明,所规划出的燃料最优弹道比阿波罗方案能节约159.7 kg的燃料,而闭环控制系统可以将初始1 000 m的位置误差和5 m/s的速度误差收敛到接近段入口误差要求以内,在闭环控制过程中,燃料消耗不大于87.75 kg,总体燃料消耗节约至少71.95 kg。
Proposed a solution to the soft landing braking optimal fuel guidance and closed-loop control program. Firstly, the optimal problem of brake section fuel is transformed into an initial value problem using Ponzi’s maximum principle, and the genetic algorithm is used to search for the solution. Secondly, in order to solve the optimal guidance closed-loop control problem, the optimal trajectory is taken as the nominal trajectory, The RCS system is used to decouple the error between the two directions in the track plane, and limit loop control is used respectively. The simulation shows that the planned fuel optimal trajectory can save 159.7 kg of fuel compared with the Apollo solution, whereas the closed-loop control system can converge the initial 1 000 m position error and the 5 m / s velocity error to the near-section inlet error requirement Within the closed-loop control, the fuel consumption of not more than 87.75 kg, the overall fuel consumption savings of at least 71.95 kg.