Construction of unmanned path tracking optimization control system based on MPC algorithm

Zihao Wen, Xinhong Liu
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Abstract

Accompanied by the rapid development of the intelligent automobile industry, unmanned driving has also become one of the important research fields of intelligent automobiles. As the future direction of automobile development, its advantage not only lies in the fact that it can enhance the traffic flow per unit time, but also can track and optimize the vehicle driving route and road safety, so as to reduce the development of traffic accidents and safety hazards. Based on this, this paper discusses the unmanned path tracking optimization control system based on MPC algorithm, and illustrates the superiority of this method through simulation, so as to provide certain reference for unmanned path tracking optimization.
基于 MPC 算法的无人机路径跟踪优化控制系统的构建
伴随着智能汽车产业的快速发展,无人驾驶也成为智能汽车的重要研究领域之一。作为未来汽车发展的方向,其优势不仅在于可以提高单位时间内的交通流量,还可以对车辆行驶路线和道路安全进行跟踪优化,从而减少交通事故的发生和安全隐患的发展。基于此,本文探讨了基于MPC算法的无人驾驶路径跟踪优化控制系统,并通过仿真说明了该方法的优越性,从而为无人驾驶路径跟踪优化提供一定的参考。
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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