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Volume 42 Issue 7
Jul.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(7): 1543-1549.
HE Renke, WEI Ruixuan, ZHANG Qirui, et al. Mimetism electric potential energy motion planning algorithm for aircraft[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(7): 1543-1549. doi: 10.13700/j.bh.1001-5965.2015.0430(in Chinese)
Citation: HE Renke, WEI Ruixuan, ZHANG Qirui, et al. Mimetism electric potential energy motion planning algorithm for aircraft[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(7): 1543-1549. doi: 10.13700/j.bh.1001-5965.2015.0430(in Chinese)
shu

Mimetism electric potential energy motion planning algorithm for aircraft

doi: 10.13700/j.bh.1001-5965.2015.0430

  • Institute of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi'an 710038, China

  • Received Date: 29 Jun 2015
  • Publish Date: 20 Jul 2016
    Abstract
  • Path planning can ensure that the unmanned aerial vehicle (UAV) flies safely and completes mission successfully. In the complex threat environment and high-dimensional space, traditional path planning methods have some limitations in the aspects of the calculation speed, path security and applicability. In order to solve these problems, the electric potential field distribution characteristics and the law of mechanical work driven by electric field force were studied. The mimetism electric potential energy path planning method was proposed, and the environment model based on the electric potential field distribution and path node probability choice mechanism were established. The relationship between threat intensity and distance was described by using electric potential. Combined with electric potential, the path safety evaluation standard was proposed. On this basis, the potential field based sampling-based random path planning method was proposed. The results show that, compared with traditional methods, the method mentioned above can generate optimal path in consideration of non-holonomic differential constraints, significantly shorten the path length and computational time, and improve the path security, which is of great value for application of path planning.

     

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    • References(21)
  • [1]
    茹常剑,魏瑞轩,沈东.多无人机协同的稳定控制机理研究[J].物理学报, 2014,63(22): 220202-1-220202-7.RU C J,WEI R X,SHEN D.Study on stability control mechanism of multiple unmanned aerial vehicle cooperative system[J].Acta Physica Sinica,2014,63(22):220202-1-220202-7(in Chinese).
    [2]
    LUGO-CARDENAS I,FLORES G,SALAZAR S,et al.Dubins path generation for a fixed wing UAV[C]//International Conference on Unmanned Aircraft Systems (ICUAS).Piscataway,NJ:IEEE Press,2014:339-346.
    [3]
    CHEN T B,ZHANG Q S.Robot motion planning based on improved artificial potential field[C]//3rd 2013 International Conference on Computer Science and Network Technology (ICCSNT).Piscataway,NJ:IEEE Press,2013:1208-1211.
    [4]
    SZCZERBA R J,GALKOWSKI P,GLICKTEIN I S,et al.Robust algorithm for real-time route planning[J].IEEE Transactions on Aerospace and Electronic System,2000,36(3):869-878.
    [5]
    TUNCER A,YILDIRIM M.Dynamic path planning of mobile robots with improved genetic algorithm[J].Computers & Electrical Engineering,2012,38(6):1564-1572.
    [6]
    CHAARI I,KOUBAA A,BENNACEUR H,et al.SmartPATH:A hybrid ACO-GA algorithm for robot path planning[C]//Proceedings 2012 IEEE Congress on Evolutionary Computation (CEC 2012).Piscataway,NJ:IEEE Press,2012:1-8.
    [7]
    SHAMSUDIN H C,ABIDIN A F Z,IRAWAN A,et al.A fast discrete gravitational search algorithm[C]//4th International Conference on Computational Intelligence,Modelling and Simulation.Piscataway,NJ:IEEE Press,2012: 24-28.
    [8]
    SPEARS W M,SPEARS D F,KERR W,et al.An overview of physicomimetics[J].Lecture Notes in Computer Science,2005,3342:84-97.
    [9]
    柴争义,王秉,李亚伦. 拟态物理学优化的认知无线电网络频谱分配[J].物理学报,2014,63(22):228802-1-228802-6.CHAI Z Y,WANG B,LI Y L.Spectrum allocation of cognitive radio network based on artificial physics optimization[J].Acta Physica Sinica,2014,63(22):228802-1-228802-6(in Chinese).
    [10]
    BIRBIL S I,FANG S C.An electromagnetism-like mechanism for global optimization[J].Journal of Global Optimization,2003,25(3):263-282.
    [11]
    RICHARD A,FORMATO J D.Central force optimization:A new nature inspired computational framework for multidimensional search and optimization[J].Nature Inspired Cooperative Strategies for Optimization,2008,129:221-238.
    [12]
    DAVE F,ANTHONY S.Anytime RRTs[C]//Proceedings of IEEE/RSJ International Conference on Intelligent,Robots and System.Piscataway,NJ:IEEE Press,2006:5798-5803.
    [13]
    OREN S,DAN H.Asymptotically near-optimal RRT for fast, high-quality, motion planning[C]//IEEE International Conference on Robotics & Automation (ICRA).Piscataway,NJ:IEEE Press,2014: 4680-4685.
    [14]
    LI J,LIU S,ZHANG B.RRT-A* motion planning algorithm for non-holonomic mobile robot[C]//SICE Annual Conference 2014.Piscataway,NJ:IEEE Press,2014: 1833-1838.
    [15]
    LEE D,SHIM D H.Spline-RRT* based optimal path planning of terrain following flights for fixed-wing UAVs[C]//The 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2014).Piscataway,NJ:IEEE Press,2014:257-261.
    [16]
    LEE D,SONG H,SHIM D H.Optimal path planning based on spline-RRT* for fixed-wing UAVs operating in three-dimensional environments[C]//International Conference on Control,Automation, and Systems.Piscataway,NJ:IEEE Press,2014:22-25.
    [17]
    VIEIRA H L,GRASSI V.Improving RRT's efficiency through motion primitives generation optimization[C]//2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol.Piscataway,NJ:IEEE Press,2014: 37-42.
    [18]
    KARAMAN S,FRAZZOLI E.Sampling-based algorithms for optimal motion planning[J]. International Journal of Robotics Research,2011,30(7):846-894.
    [19]
    RATLIFF N,ZUCKER M,BAGNELL J,et al.CHOMP:Gradient optimization techniques for efficient motion planning[C]//Proceedings of IEEE International Journal Conference on Robotics and Automation (ICRA).Piscataway,NJ:IEEE Press,2009:489-494.
    [20]
    马文蔚.物理学[M].5版.北京:高等教育出版社,2006: 149-186.MA W W.Physics[M].5th ed.Beijing:Higher Education Press,2006:149-186(in Chinese).
    [21]
    JUNGHUN S,SONGHWAI O.A cost-aware path planning algorithm for mobile robots[C]//2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.Piscataway,NJ:IEEE Press,2012:4724-4729.
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