基于C-C-C级路径的无人机最优路径规划

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601) Pub Date : 2004-12-01 DOI:10.1109/CDC.2004.1428840

Hong Wong, V. Kapila, Ravi Vaidyanathan

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引用次数: 23

摘要

本文在运动学和战术约束下，确定了无人机进行目标巡航的二维最优C-C-C类路径。利用向量微积分将路径规划问题分解为参数优化问题。然后采用一种高效的混合优化算法来解决参数优化问题。数值模拟说明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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UAV optimal path planning using C-C-C class paths for target touring

In this paper, 2-D optimal C-C-C class paths are determined for unmanned air vehicles performing target touring with kinematic and tactical constraints. Using vector calculus, a path-planning problem is decomposed to yield a parameter optimization problem. An efficient hybrid optimization algorithm is then used to solve the parameter optimization problem. Illustrative numerical simulations are given to demonstrate the efficacy of our approach.

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来源期刊

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)

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