排
控制理论(社会学)
协同自适应巡航控制
自适应控制
巡航控制
非线性系统
车辆动力学
职位(财务)
控制工程
工程类
鲁棒控制
计算机科学
控制(管理)
控制系统
汽车工程
人工智能
物理
电气工程
财务
量子力学
经济
作者
Tianqun Ren,Xiang Chen,Guoxiang Gu
摘要
Summary This article studies robust adaptive control for a class of autonomous vehicle platoons. In particular, two innovative adaptive control laws are proposed to address both position and velocity tracking for a vehicle platoon. In addition, it is shown that robust asymptotic string stability can be delivered by the underlying adaptive control laws for the vehicle platoon, in the sense that these adaptive control laws are capable of mitigating parameter uncertainties involved in the nonlinear vehicular dynamics and achieving truly cooperative adaptive cruise control while ensuring the required safety spacing between each neighboring vehicle pair asymptotically. It is also shown that the control performance of the vehicle platoon can be further improved if the operating equilibrium points of all vehicles can be adaptively estimated, leading to two linear time‐invariant control laws for individual vehicles under both position and velocity controls and for the vehicle platoon. Simulation studies illustrate the effectiveness of the proposed control method, validating the results obtained for the class of vehicle platoons.
科研通智能强力驱动
Strongly Powered by AbleSci AI