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

Published: 25 August 2022 Publication History

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.

References

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Shanhong Liu, Jianguo Yan, Xuan Yang, Mao Ye and Xi Guo, July 2021. Tianwen No.1 Expand Mission on Mars Potential contribution analysis of force field solution. Journal of Wuhan University.
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Takarics Béla, Vanek Bálint. 2021. Robust control design for the FLEXOP demonstrator aircraft via tensor product models,. Asian Journal of Control.
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Aerospace Research - Spacecraft and Rockets; Studies from J. M. Brock Further Understanding of Spacecraft and Rockets (Computational Fluid Dynamics Simulations of Supersonic Inflatable Aerodynamic Decelerator Ballistic Range Tests). Defense & Aerospace Week, 2019.
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Sazonov V. V. 2021. Comparison of Two Models Simulating the Motion of Aerodynamic Drag Used for Predicting the ISS's Orbital Motion. Mathematical Models and Computer Simulations.
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Yuanyuan Lu, Wei Rong, Shitong Wu. 2018. Simulation study on dynamic characteristics of 'Mars Explorer' parachute system. China Space Science and Technology, pp. 63-70.
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Shirshakov A. E., Grudev I. A., Likhachev V. N., Rozin P. E. 2021. Active Braking for Soft Landing on the Surface of Mars: Part 1: Braking Conditions Analysis and Sequence of Operations. Solar System Research.
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Ferrentino Enrico, Salvioli Federico, Chiacchio Pasquale.2021. Globally Optimal Redundancy Resolution with Dynamic Programming for Robot Planning: A ROS Implementation. Robotics.

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

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    ICVARS '22: Proceedings of the 2022 6th International Conference on Virtual and Augmented Reality Simulations
    March 2022
    119 pages
    ISBN:9781450387330
    DOI:10.1145/3546607
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

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    Publication History

    Published: 25 August 2022

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    Author Tags

    1. Dynamic optimization
    2. Fourth-order Runge-Kutta method
    3. Martian probe
    4. PSO algorithm

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