Vehicle following algorithm realization based on flexible curved bar
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摘要: 针对前车有加速度和转弯时无法保证跟踪精度的困难,提出一种柔性曲杆的新算法应用于车辆自动跟踪.假设前后车间有一根虚拟柔性曲杆联接着,杆长等于前后车间沿着前车轨迹线的距离长,杆的弯曲变形与前车的转弯半径相同.利用短圆弧半径来记录前车转弯半径,解决了传统轨迹方程不平滑连续的问题;对于后车跟踪的速度控制,设计了一个基于杆长与安全距离的加速度分类模糊集,用以更新后车的线速度,避免了后车行驶中出现的磕头现象.最后,在三维机器人仿真软件中进行实体编程仿真,结果表明该方法具有可行性,轨迹跟踪误差达到1 cm以下.Abstract: To solve the tracking accuracy problem of vehicle following system, when the leader vehicle was accelerating or turning, a novel algorithm based on a virtual flexible curved bar was proposed to apply for vehicle following. A virtual flexible curved bar was supposed to connect the leader and the follower. The curved bar was as long as the distance between the leader and the follower, while the bar arc fitted the leader-s curved path. The radiuses of the short arcs were recorded sequentially as the radiuses of leader trajectory to make the trajectory smooth and continuous. An acceleration fuzzy set was designed according to the bar length and the safe distance to update the follower-s velocity, in order to avoid the kowtow phenomenon during the following motion. Finally, some simulations were implemented in the three-dimensional robot simulation software. The results show that the method can be used in reality and the trajectory tracking accuracy can reach below 1 cm.
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