偏航
控制理论(社会学)
主动转向
轴
扭矩
控制器(灌溉)
扭矩转向
主动安全
工程类
力矩(物理)
电子稳定控制
车辆动力学
拖拉机
计算机科学
汽车操纵
线性二次调节器
模型预测控制
弹道
理论(学习稳定性)
PID控制器
铰接式车辆
控制系统
汽车工程
控制工程
欧拉角
控制(管理)
二次规划
最优控制
拖车
跟踪(教育)
方向盘
自抗扰控制
前馈
作者
Zhaowen Deng,Li Chen,Wei Gao,Mai Xin,Youqun Zhao,Ming Li
标识
DOI:10.1177/09544070251406651
摘要
To improve the trajectory tracking accuracy of intelligent vehicles under extreme working conditions, which are prone to side-slipping, instability, and other dangerous issues, new research on active steering and yaw moment control has been proposed. First, a three-degree-of-freedom (3-DOF) model of the tractor–semitrailer was established. The PID longitudinal driver model outputs the desired torque to achieve vehicle speed tracking, while the built-in driver in TruckSim serves as the lateral driver. Second, a lateral stability control strategy for the tractor–semitrailer was proposed. An LQR-based active rear-wheel steering controller for the tractor and a linear time-varying model predictive control (LTVMPC)-based direct yaw moment controller were designed to achieve active steering control of the tractor’s rear wheels and additional yaw moment control of the vehicle. The driving torque was further distributed between the tractor’s rear axles and the trailer using the quadratic programming method. Then, a TruckSim–MATLAB/Simulink co-simulation platform was developed to verify the designed controllers. Finally, the simulation results demonstrate that the combined LQR active steering and LTVMPC yaw moment control strategy offers significant advantages in reducing the side-slip angle and yaw rate of the vehicle during lane-change maneuvers, while effectively improving the lateral stability of articulated heavy vehicles.
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