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A MPC and Genetic Algorithm Based Approach for Multiple UAVs Cooperative Search

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

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Abstract

This paper focuses on the problem of cooperative search using a team of Unmanned Aerial vehicles (UAVs). The objective is to visit as many unknown area as possible, while avoiding collision. We present an approach which combines model predictive control(MPC) theory with genetic algorithm(GA) to solve this problem. First, the team of UAVs is modelled as a controlled system, and its next state is predicated by MPC theory. According to the predicted state, we then establish an optimization problem. By use of GA, we get the solution of the optimization problem and take it as the input of the controlled system. Simulation results demonstrate the feasibility of our algorithm.

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Author information

Authors and Affiliations

  1. School of Mechanical Engineering and Automation, National University of Defense Technology, China

    Jing Tian, Huayong Zhu & Lincheng Shen

  2. School of Computer Science, National University of Defense Technology,  

    Yanxing Zheng

Authors
  1. Jing Tian
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  2. Yanxing Zheng
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  3. Huayong Zhu
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  4. Lincheng Shen
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Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yuping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security (Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

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© 2005 Springer-Verlag Berlin Heidelberg

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Tian, J., Zheng, Y., Zhu, H., Shen, L. (2005). A MPC and Genetic Algorithm Based Approach for Multiple UAVs Cooperative Search. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_58

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  • DOI: https://doi.org/10.1007/11596448_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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