Improved A* Algorithm for Path Planning Based on CubeSats In-Orbit Electromagnetic Transfer System

被引:0
|
作者
Xu, Duo [1 ]
Yue, Honghao [1 ]
Zhao, Yong [1 ]
Yang, Fei [1 ]
Wu, Jun [1 ]
Pan, Xueting [1 ]
Tang, Tao [1 ]
Zhang, Yuhao [1 ]
机构
[1] Harbin Inst Technol, Sch Mechatron Engn, Harbin 150080, Peoples R China
基金
中国国家自然科学基金;
关键词
improved A* algorithm; CubeSat in-orbit transfer; path planning; attitude disturbance;
D O I
10.3390/aerospace11050394
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
For future large-scale CubeSat applications in orbit, the deployer must accommodate a greater number of CubeSats and facilitate cluster releases. This paper introduces an improved A* algorithm tailored for CubeSat in-orbit transfer path planning. Unlike the traditional A* algorithm, this enhanced version incorporates a path coordination strategy to manage congestion caused by the simultaneous transfer of many CubeSats, ensuring they reach their designated release positions smoothly and thus significantly boosting the efficiency of CubeSat transfers. Additionally, the algorithm develops a cost model for attitude disturbances on the electromagnetic conveying platform and crafts an improved cost function. It strategically balances the reduction in attitude disturbances caused by CubeSat transfers with the efficiency of these transfers. The primary goal is to minimize platform disturbances while optimizing the number of steps CubeSats need to reach their intended positions. The effectiveness of this algorithm is demonstrated through detailed case studies, which confirm that during the CubeSat transfer process, the platform's attitude remains stable, and the transfer efficiency is well-managed, achieving efficient path planning for the in-orbit transfer of numerous CubeSats.
引用
收藏
页数:25
相关论文
共 50 条
  • [1] A Path Planning System for Orchard Mower Based on Improved A* Algorithm
    Zhang, Mengke
    Li, Xiaoguang
    Wang, Ling
    Jin, Liujian
    Wang, Shubo
    [J]. AGRONOMY-BASEL, 2024, 14 (02):
  • [2] Path Planning Based on Improved Hybrid A* Algorithm
    Tang, Bijun
    Hirota, Kaoru
    Wu, Xiangdong
    Dai, Yaping
    Jia, Zhiyang
    [J]. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2021, 25 (01) : 64 - 72
  • [3] Robot Path Planning Based on Improved A* Algorithm
    Peng, Jiansheng
    Huang, Yiyong
    Luo, Guan
    [J]. CYBERNETICS AND INFORMATION TECHNOLOGIES, 2015, 15 (02) : 171 - 180
  • [4] Path planning of UAVs based on improved Clustering Algorithm and Ant Colony System Algorithm
    Sun, Yue
    Chen, Jinchao
    Du, Chenglie
    Gu, Qing
    [J]. PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), 2020, : 1097 - 1101
  • [5] Dynamic Path Planning Algorithm for Wearable Visual Navigation System Based on the Improved A*
    Zhang, Yidou
    Zhao, Yan
    Wei, Tong
    Chen, Jiemin
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST), 2017, : 155 - 160
  • [6] An improved path planning algorithm based on fuel consumption
    Tianbo Liu
    Jindong Zhang
    [J]. The Journal of Supercomputing, 2022, 78 : 12973 - 13003
  • [7] ARA☆+: Improved path planning algorithm based on ARA☆
    Li, Bo
    Gong, Jianwei
    Jiang, Yan
    Nasry, Hany
    Xiong, Guangming
    [J]. 2012 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT 2012), VOL 2, 2012, : 361 - 365
  • [8] A Path Planning Algorithm for Robots Based on Improved QPSO
    Tao, Chongyang
    Yang, Jihua
    Zhao, Hang
    [J]. INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND INFORMATION SCIENCES (ICCIS 2014), 2014, : 548 - 554
  • [9] The Path Planning of Mobile Robots Based on an Improved A* Algorithm
    Chang, Lu
    Shan, Liang
    Li, Jun
    Dai, Yuewei
    [J]. PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019), 2019, : 257 - 262
  • [10] Path planning of scenic spots based on improved A* algorithm
    Wang, Xingdong
    Zhang, Haowei
    Liu, Shuo
    Wang, Jialu
    Wang, Yuhua
    Shangguan, Donghui
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)