LPV/H∞ Controller Design for Path Tracking of Autonomous Ground Vehicles Through Four-Wheel Steering and Direct Yaw-Moment Control

被引:73
作者
Hang, Peng [1 ,2 ]
Chen, Xinbo [1 ,2 ]
Luo, Fengmei [1 ]
机构
[1] Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China
[2] Tongji Univ, Clean Energy Automot Engn Ctr, Shanghai 201804, Peoples R China
基金
国家重点研发计划;
关键词
Path tracking; Linear parameter-varying; Robust control; Four-wheel steering; Direct yaw-moment control; MODEL-PREDICTIVE CONTROL; TRAJECTORY TRACKING; ELECTRIC VEHICLES; ROBUST-CONTROL;
D O I
10.1007/s12239-019-0064-1
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper focuses on the path-tracking controller design for autonomous ground vehicles (AGVs) using four-wheel steering (4WS) and direct yaw-moment control (DYC) systems. In order to deal with the parametric uncertainties, a linear parameter-varying (LPV) H-infinity controller is designed as the high-level controller to generate the front and rear wheel steering angles and external yaw moment based on linear matrix inequality (LMI) approach. The lower-level controller is designed for torque allocation between the left and right side wheels to yield the desired total longitudinal force and external yaw moment utilizing weighted least square (WLS) allocation algorithm. To test the performance of the proposed path-tracking controller, numerical simulations are carried out based on a high-fidelity and full-vehicle model constructed in CarSim. Simulation results show that the LPV/H-infinity controller has better path-tracking performance than the fixed gain H-infinity controller. To show the superiority of 4WS+DYC control system, the contrast simulation is performed based on LPV/H-infinity controller. Simulation results indicate that 4WS+DYC control system has better path-tracking performance and handling stability than active front steering (AFS), AFS+DYC and 4WS control systems.
引用
收藏
页码:679 / 691
页数:13
相关论文
共 33 条
[31]   Integrated control of in-wheel motor electric vehicles using a triple-step nonlinear method [J].
Zhao, Haiyan ;
Gao, Bingzhao ;
Ren, Bingtao ;
Chen, Hong .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2015, 352 (02) :519-540
[32]   Process for evaluating the data transfer performance of wireless traffic sensors for real-time intelligent transportation systems applications [J].
Zhou, Yan ;
Dey, Kakan Chandra ;
Chowdhury, Mashrur ;
Wang, Kuang-Ching .
IET INTELLIGENT TRANSPORT SYSTEMS, 2017, 11 (01) :18-27
[33]  
[宗长富 Zong Changfu], 2011, [汽车工程, Automotive Engineering], V33, P829