基于蚁群算法的无人播种机路径规划

Path Planning of Unmanned Seeder Based on Ant Colony Algorithm

无人播种机是实现智能耕种的一种重要的自动化机械,其路径规划是实现自动播种的基础.在一些地区,农田作业区域往往相距较远,而且播种同一种农作物的区域有时比较分散,在路径上还可能存在障碍物.为了合理规划无人播种机更换农田播种区域的走行路径,文章阐释了蚁群算法进行路径寻优的基本方法,再应用蚁群算法规划无人播种机更换农田播种区域的路径.仿真和实验结果表明,蚁群算法能够找到最优解,并完成对无人播种机更换农田播种区域的路径规划.

An unmanned seeder is an important automated machine for intelligent farming,and its path planning is the basis for automatic seeding.In some areas,farmland operations are often far apart,and the areas where the same crop is sown are sometimes scattered and there may be obstacles in the path.In order to plan the path of changing the field sowing area of the unmanned seeder,this paper first introduces the basic method of ant colony algorithm for path optimization,and then uses the ant colony algorithm to plan the path of the unmanned seeder to change the farmland sowing area.The simulation and experimental results show that the ant colony algorithm can find the optimal solution and complete the path planning for the replacement of the planting area of the unmanned seeder.