An Adaptive Rescue Trajectory Planning Method Based on Numerical Optimization Algorithm

Abstract

An adaptive rescue trajectory planning method based on a numerical optimization algorithm. After a failure of the launch vehicle, it is judged whether the rescue trajectory needs gravity-assisted gliding after the failure; if gravity-assisted gliding is not required, the remaining fuel and thrust are used. Find the optimal rescue trajectory in the plane, and the rescue trajectory that the launch vehicle can send the payload into; if gravity-assisted gliding is required, consider changing the orbital surface. By introducing gravity-assisted gliding, adjust the timing of orbit change and increase the remaining fuel. Utilization, so as to optimize the optimal rescue trajectory, and the rescue trajectory that the launch vehicle can send the payload into. According to the evaluation of the remaining carrying capacity, the initial value of the trajectory planning numerical optimization algorithm is adaptively generated, and according to the initial value of the generated rescue trajectory state quantity, the numerical optimization algorithm is used to determine the rescue trajectory and improve the convergence and solution efficiency of the rescue trajectory solution. Reduce the difficulty of problem solving.

Description

technical field [0001] The invention relates to an adaptive rescue trajectory planning method based on a numerical optimization algorithm, belonging to the technical field of launch vehicle control. Background technique [0002] In the history of aerospace at home and abroad, there are many cases of launch vehicle failures due to power system failures. One of the non-fatal failures is the thrust drop of the rocket at a certain point after launch. After this type of failure, the rocket could not keep up with the nominal flight trajectory designed on the ground due to insufficient acceleration, resulting in a final crash. In order to enhance the performance capability of the launch vehicle and avoid or reduce the economic losses caused by such failures, it is a feasible method to re-plan the flight trajectory and rescue trajectory online according to the failure situation. The current iterative guidance algorithm of the launch vehicle is an effective method to improve the acc...

AI Technical Summary

Problems solved by technology

At present, my country's launch vehicles do not have the ability to deal with failures and plan rescue trajectories

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