基于改进人工势场算法的AUV路径规划

    An Improved Artificial Potential Field Algorithm for AUV Path Planning

    • 摘要: 针对传统人工势场算法运用于AUV路径规划时存在易死锁、实时性差、结果欠优等问题,提出一种改进型人工势场算法。在障碍物周围新增滑移区以替换原有斥力场的作用效果,同时构建相应的滑移准则以实现对AUV的滑移运动控制,具体包括滑移区判别、滑移参数选择和滑移方向判别准则。最后,在MATLAB中进行仿真实验。在静态环境下,分别利用传统人工势场算法和所述改进算法进行AUV的运动路径规划,仿真结果验证了改进算法的有效性和优越性。同时,在考虑固定海流的动态环境下,通过对引力方向、滑移条件、滑移方向和滑移轨迹进行修正,成功将所述算法运用于AUV的动态路径规划中。

       

      Abstract: Basic artificial field method does not work well for AUV path planning because of its weakness in optimization and real-time performance. Sometimes it may even go into a deadlock. The improved artificial field method is developed to solve these problems. The effect of repulsive force field is replaced by the sliding area around obstacles and the criteria for controlling sliding movement of an AUV are defined. The criteria are used for identification of the sliding area, determination of sliding parameters and discrimination of sliding direction. Simulations are performed with MATLAB. Both basic and improved algorithms are tested. The tests show that after correcting attractive force, sliding parameters and sliding trajectory, the improved artificial potential field method works well in dynamic planning of AUV path.

       

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