基于改进蚁群算法的火星车三维路径规划
首发时间:2019-01-28
摘要:随着20世纪中后期航空航基于改进蚁群算法的火星探测器三维路径规划天观测和空间技术的快速发展,火星已经成为人类进入太空、探索宇宙的焦点。火星探测器所处火星环境复杂,在规划行驶路径时,需要综合考虑地形和环境等因素,选择出符合火星探测作业的最优路径非常重要。因此,通过改进传统的蚁群算法,设计和规划出适合火星探测器行走的三维路径,并在前行过程中增加了自适应调整功能。通过实验仿真结果表明:基于改进蚁群算法的火星探测器三维空间路径规划在信息素更新方法以及蚂蚁搜索策略上进行了改进,并能成功仿真出了最优路径,能够很好地满足火星探测器在火星表面的运行需求。
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Three-dimensional path planning of rover based on improved ant colony algorithm
Abstract:With the rapid development of aerospace observation and space technology in the middle and late 20th century, Mars has become the focus of human beings entering space and exploring the universe. The Mars environment in which the Mars probe is located is complex. When planning the driving route, it is necessary to consider the terrain and environment and other factors. It is very important to choose the optimal path that matches the Mars exploration operation. Therefore, by improving the traditional ant colony algorithm, a three-dimensional path suitable for the walking of the Mars probe is designed and planned, and an adaptive adjustment function is added in the forward process. The experimental results show that the three-dimensional spatial path planning of Mars probe based on improved ant colony algorithm is improved in pheromone updating method and ant search strategy, and the optimal path can be successfully simulated, which can satisfy. Three-dimensional path planning of rover based on improved Ant Colony Algorithm satisfy Mars exploration.
Keywords: Mars Mars probe path planning three-dimensional space
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