UUV multi-task route planning under obstacles constrait

Cao Xin, Zhou Yuan, Chen Yi, Mai Weiqiang
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Abstract

Aiming at the path planning problem of UUV under obstacles constrait, this paper proposes a simple and feasible algorithm. The optimal path plan is obtained through the tangent theory based on the principle of minimum turning radius, and a detailed mathematical proof is given. The UUV multi-task route planning problem is transformed into a TSP model solution through the continuous Hopfield neural net-work. The simulation results show that the method can quickly and accurately solve UUV multi tasking route planning problem.
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障碍物约束下UUV多任务航路规划
针对障碍物约束下UUV的路径规划问题,提出了一种简单可行的算法。基于最小转弯半径原则,利用切线理论得到了最优路径规划,并给出了详细的数学证明。通过连续Hopfield神经网络将UUV多任务路径规划问题转化为TSP模型解。仿真结果表明,该方法能够快速、准确地解决UUV多任务路径规划问题。
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