基于云控平台雾计算架构的网联汽车路径控制

Study on Path Tracking Control of Intelligent Connected Vehicle Based on Fog Computing Architecture of Cloud Computing Platform

雾计算网络是连接云计算网络和边缘网络的中间人,相比于云计算,更加接近边缘网络,在处理边缘网络数据时,具有低延时、分布式、移动性、虚拟化等优点。本文优化了LQR控制器,并仿真验证道路上的路径跟踪准确性。最后,提出了雾计算网络下汽车实现路径跟踪的一种可能措施,为智能网联汽车自动驾驶提供一个参考方案。

Fog computing network is the middleware connecting cloud computing network and edge network.Compared to cloud computing,it is closer to edge network.When processing edge network data,it has the advantages of low latency,distributed,mobility and virtualization etc.In this paper,the LQR controller is optimized and the accuracy of path tracking on straight path is verified by simulation.Finally,a possible measure for vehicle path tracking under fog computing network is proposed,which provides a reference scheme for intelligent connected vehicle autonomous driving.