Motion Control of a 4WS4WD Path-Following Vehicle: Further Studies on Steering and Driving Models

Author:

Zhang Zhonghua1ORCID,Yang Caijin1ORCID,Zhang Weihua1,Xu Yanhai2,Peng Yiqiang2,Chi Maoru1ORCID

Affiliation:

1. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China

2. School of Transportation and Automotive Engineering, Xihua University, Chengdu 610039, China

Abstract

Further research on motion control of a 4WS4WD path-following vehicle is carried out in this paper. Focuses are placed on understanding and testing the vehicle path-following control models developed previously at a deep level. Control models are in relation to parameters introduced, and the effects of these parameters are discovered. Control models are interpreted by dynamic simulation using a 3DOF vehicle model with three cases. Three kinds of planned paths are considered in these cases to test control performances, which include the straight, circular, and sinusoidal paths. Interesting dynamic results are obtained and analyzed qualitatively, e.g., various steering modes. Simulation studies are extended with consideration of a fine vehicle dynamic model established in CarSim and a complex path composed of straight and curved segments. Control models are examined in a complex problem, and results obtained show that they are validated with robustness in dynamic environment.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Mechanical Engineering,Mechanics of Materials,Geotechnical Engineering and Engineering Geology,Condensed Matter Physics,Civil and Structural Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Design of 1/10 Scale Model for Autonomous Electric Vehicle Dynamic Testing;Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications;2022-11-22

2. A Local Planner for Accurate Positioning for a Multiple Steer-and-Drive Unit Vehicle Using Non-Linear Optimization;Sensors;2022-03-28

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