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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 12

Real-time interactive unmanned aerial vehicle swarm formation method based on distributed model predictive control

Wang Ziheng1
Li Yitao1,2
Xiong Xingzhong1,2
1. School of Automation & Information Engineering Sichuan University of Science & Engineering, Yibing Sichuang 644000, China
2. Artificial Intelligence Key Laboratory of Sichuang Province, Yibing Sichuang 644000, China
DOI: 10.19734/j.issn.1001-3695.2024.04.0144

Abstract

To meet the real-time interactive formation changes and personalized performance requirements of drone swarms, this paper proposes a new offline trajectory generation algorithm based on Distributed Model Predictive Control (DMPC) . This method begins with mathematical modeling of point-to-point formation changes in drone formations and solves the optimization problem. This paper introduces a new on-demand collision avoidance strategy for DMPC and proposes a rapid DMPC algorithm for multi-drone point-to-point transitions. By combining this approach with intelligent target point allocation, the method reduces computational pressure while achieving more efficient flight trajectories. The study conducts simulations and compares the method with existing methods for performance evaluation. The results show that the proposed method significantly improves the success rate of trajectory generation, the rate of trajectory generation, and the efficiency of trajectory flight. The proposed algorithm quickly generates efficient flight trajectories for point-to-point formation changes in drone swarms, meeting the real-time interactivity and personalized needs of drone swarm flight performances.

Foundation Support

科技部重大专项(2022YFE03050004)
人工智能四川省重点实验室开放基金项目(2021RZJ01)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.04.0144
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-06] Accepted Paper

Cite This Article

王子恒, 李伊陶, 熊兴中. 基于分布式模型预测控制的实时可交互无人机群编队方法 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.04.0144. (Wang Ziheng, Li Yitao, Xiong Xingzhong. Real-time interactive unmanned aerial vehicle swarm formation method based on distributed model predictive control [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.04.0144. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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