控制理论(社会学)
稳健性(进化)
滑模控制
扭矩
参数统计
控制器(灌溉)
控制系统
鲁棒控制
自适应控制
车辆动力学
李雅普诺夫函数
控制工程
计算机科学
工程类
汽车工程
控制(管理)
数学
非线性系统
人工智能
统计
基因
电气工程
物理
热力学
生物
量子力学
生物化学
化学
农学
作者
Zhe Sun,Jinchuan Zheng,Zhihong Man,Hai Wang
标识
DOI:10.1109/tie.2015.2499246
摘要
This paper presents an adaptive sliding-mode (ASM) control methodology for a vehicle steer-by-wire (SbW) system. First, the SbW system is modeled as a second-order system from the steering motor input voltage to the front-wheel steering angle. For simplicity, the self-aligning torque and friction arising from the tire-to-ground contact are regarded as external disturbance acting on the SbW system. Next, an ASM controller is designed for the SbW system, which can not only cope with the parametric uncertainties in the plant model but also estimate the coefficient of the self-aligning torque effectively. The stability of the ASM control system is proved in the sense of Lyapunov and the guidelines for selecting the control parameters are given. Finally, experiments are carried out for steering control to respectively follow a slalom path and a circular path under various road conditions. It is shown that the proposed ASM controller can achieve stronger robustness against various road conditions leading to significantly smaller tracking errors in comparison with a conventional sliding-mode controller and a linear H ∞ controller.
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