Mars Probe Landing Control Scheme Based on Dynamic Programming and Lion Swarm Algorithm

Abstract

The success of Tianwen No. 1 mission is a landmark achievement of independent innovation and leapfrog development of China's aerospace industry. In this paper, a differential equation model based on Newton ' s second law and pulse theorem is established for the landing control problem of Tianwen-1 Mars probe. The fourth-order Runge-Kutta method and the lion swarm optimization algorithm are used to solve the shortest landing time of the probe, and the shortest landing time is calculated to be 7.1 min. At the same time, the control functions of the engine in the aerodynamic deceleration stage, parachute control stage and dynamic deceleration stage are simulated, and the shortest time-consuming scheme of the detector landing process is determined. When the life of the detector is fixed, this study can shorten the landing time and enter the working state as soon as possible, which can prolong the working time of the detector. To a certain extent, it makes up for the deficiency of the research on the landing time planning of the detector, has certain innovation, and promotes the further development of China ' s aerospace industry to a certain extent. At the same time, it provides some method reference and experience guidance for the shortest time of kinematic path planning in real life.