Fast online planning method for optimal trajectory of fuel consumption in soft landing of small celestial bodies

Abstract

The invention discloses a rapid on-line planning method for a soft landing optimal trajectory of a small celestial body, and belongs to the technical field of deep space exploration. The implementation method comprises the following steps: determining an optimal trace control form of small celestial body fuel consumption as a bank-bank control form, determining the switching times of controlling athrust amplitude bank-bank form, and determining a switching sequence of the bank-bank form for controlling the thrust amplitude on the basis of the switching times. Therefore, the optimal path planning problem of small celestial body fuel consumption is converted into the online search problem of the bang-bang control switching moment. Through a numerical prediction-correction strategy, on-linesearch is carried out on switching time, a two-variable search problem is converted into a sequence single-variable search problem of an inner loop and an outer loop, on-line generation of a small celestial body soft landing fuel consumption optimal trajectory is achieved, and rapidity and convergence of the landing trajectory planning method are guaranteed.

Description

technical field [0001] The invention relates to a trajectory planning method, in particular to an online rapid trajectory optimization method for soft landing of a small celestial body, and belongs to the technical field of deep space exploration. Background technique [0002] The implementation of precise soft landing is the premise of realizing the mission of in-situ detection and sample return on the surface of small celestial bodies. Because small celestial bodies are far away from the earth, there are large uncertainties in various physical properties of small celestial bodies, such as rotation angular velocity, gravitational field distribution, and celestial body mass. At the same time, during the landing process of small celestial bodies, they will also be affected by disturbance factors such as solar light pressure. These factors make offline planning of trajectories impossible for online applications. [0003] Considering the above factors, it is necessary to stud...

AI Technical Summary

Problems solved by technology

At the same time, during the landing process of small celestial bodies, they will also be affected by disturbance factors such as solar light pressure.

These factors make offline planning trajectories impossible for online applications

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