Volume 42 Issue 8
Aug.  2016
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MENG Zhijun, PING Xueshou, CHEN Xuzhiet al. 3D obstacle avoidance method and simulation for unmanned helicopter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(8): 1619-1626. doi: 10.13700/j.bh.1001-5965.2015.0499(in Chinese)
Citation: MENG Zhijun, PING Xueshou, CHEN Xuzhiet al. 3D obstacle avoidance method and simulation for unmanned helicopter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(8): 1619-1626. doi: 10.13700/j.bh.1001-5965.2015.0499(in Chinese)

3D obstacle avoidance method and simulation for unmanned helicopter

doi: 10.13700/j.bh.1001-5965.2015.0499
  • Received Date: 28 Jul 2015
  • Publish Date: 20 Aug 2016
  • Autonomous obstacle avoidance is an indispensable ability for unmanned helicopter (UH) operating low-altitude flight. A new 3D real-time avoidance method was presented to solve UH obstacle avoidance problem in complicated environment. The vision space of sensor was divided into several unequal radii sector-shaped cylinders and cuboids distributed at the same angle, estimating the obstacle distribution based on sensor data, and UH can execute corresponding maneuver calculated by this method to avoid obstacles successfully. An originally 3D simulation method was also proposed using secondary development technology on CATIA, which can build 3D model for undiscovered environment. Combined with the obstacle avoidance method, real UH obstacle avoidance flight simulation was carried out in it. The feasibility of 3D obstacle avoidance method was validated using the proposed simulation method.

     

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  • [1]
    SCHERER S,SINGH S,CHAMBERLAIN L,et al.Flying fast and low among obstacles[C]//2007 IEEE International Conference on Robotics and Automation.Piscataway,NJ:IEEE Press,2007:2023-2029.
    [2]
    STENTZ A.Optimal and efficient path planning for partially known environments[C]//Proceedings of the 1994 IEEE International Conference on Robotics and Automation.Piscataway,NJ:IEEE Press,1994,4:3310-3317.
    [3]
    GEYER M,JOHNSON E.3D obstacle avoidance in adversarial environments for unmanned aerial vehicles[C]//AIAA 2006-6542 AIAA Guidance,Navigation,and Control Conference and Exhibit.Reston:AIAA,2006:1-12.
    [4]
    RUCHTI J,SENKBEIL R,CARROLL J,et al.Unmanned aerial system collision avoidance using artificial potential fields[J].Journal of Aerospace Information Systems,2014,11(3):140-144.
    [5]
    ZHANG H,YANG L,GAO Z,et al.The dynamic pathplanning research for mobile robot based on artificial potential field[C]//2011 International Conference on Consumer Electronics Communications and Networks(CECNET).Piscataway,NJ:IEEE Press,2011:2736-2739.
    [6]
    ULRICH I,BORENSTEIN J.VFH*:Local obstacle avoidance with look-ahead verification[C]//Proceedings of the 2000 IEEE International Conference on Robotics and Automation.Piscataway,NJ:IEEE Press,2000:2505-2511.
    [7]
    许心德,关胜晓.未知环境下基于VFH*的机器人避障[J].计算机仿真,2010,27(3):156-160.XU X D,GUAN S X.Obstacle avoidance for robots based on VFH* method in uncertain environment[J].Computer Simulation,2010,27(3):156-160(in Chinese).
    [8]
    BORENSTEIN J,KOREN Y.The vector field histogram-fast obstacle avoidance for mobile robots[J].IEEE Transactions of Robotics and Automation,1991,3(7):278-288.
    [9]
    QI C,OZGUNER U.Real-time navigation for autonomous vehicles:A fuzzy obstacle avoidance and goal approach algorithm[C]//Proceedings of the 2005 American Control Conference.Piscataway,NJ:IEEE Press,2005,3:2153-2158.
    [10]
    REN L,WANG W,DU Z.A new fuzzy intelligent obstacle avoidance control strategy for wheeled mobile robot[C]//2012 IEEE International Conference on Mechatronics and Automation.Piscataway,NJ:IEEE Press,2012:1732-1737.
    [11]
    LI H,YANG S,SETO M.Neural-network-based path planning for a multirobot system with moving obstacles[J].IEEE Transactions on Systems,Man,and Cybernetics Part C (Applications and Reviews),2009,39(4):410-419.
    [12]
    WAI R.Tracking control based on neural network stagy for robot manipulator[J].Neurocomputing,2003,51:425-445.
    [13]
    ULRICH I,BORENSTEIN J.VFH+:Reliable obstacle avoidance for fast mobile robots[C]//Proceedings of 1998 IEEE International Conference on Robotics and Automation.Piscataway,NJ:IEEE Press,1998,2:1572-1577.
    [14]
    DONG T,LIAO X,ZHANG R,et al.Path tracking and obstacle avoidance of UAVs-Fuzzy logic approach[C]//The 14th IEEE International Conference on Fuzzy Systems.Piscataway,NJ:IEEE Press,2005:43-48.
    [15]
    刘玲,王耀南,况菲,等.基于神经网络和遗传算法的移动机器人路径规划[J].计算机应用研究,2007,24(2):264-265.LIU L,WANG Y N,KUANG F,et al.Path planning of mobile robot based on neural network and genetic algorithm[J].Application Research of Computers,2007,24(2):264-265(in Chinese).
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