Integrated Longitudinal and Lateral Control System Design and Case Study on an Electric Vehicle

Author:

Zhao Jin1ORCID,Fu Haolong1,Liu Dongjie1,Wang Guangwei1,El Kamel Abdelkader2

Affiliation:

1. School of Mechanical Engineering, Guizhou University, Guiyang 550025, China

2. CRIStAL, Ecole Centrale de Lille, Cite Scientifique Bp 48, F 59651 Villeneuve D’Ascq Cedex, France

Abstract

This paper presents the design of an integrated longitudinal and lateral controller for autonomous vehicle and field tests with an electric vehicle. First, the longitudinal design was studied which includes the spacing policy as the upper level controller and throttle and brake control as the lower level controller. A safety spacing policy was proposed considering both the vehicle states and the vehicle capability. A coordinated throttle and brake controller was also designed to ensure the vehicle pursuing the desired acceleration. Second, a multimodel lateral controller was proposed which can perform the lane tracking and lane changing manoeuvres. Then, an integrated control structure was proposed to manage both the longitudinal and lateral controller. Finally, simulation and visualization works were carried out to validate the proposed solutions. An electric vehicle experiment platform was also built, and field tests showed encouraging results.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 4 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. Analysis and Design of Adaptive Cruise Control for Smart Electric Vehicle With Domain-Based Poly-Service Loop Delay;IEEE Transactions on Industrial Electronics;2023-01

2. Vehicle Adaptive Cruise Controller Based on an Optimal Super-twisting Sliding Mode Control;2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH);2022-05

3. Fixed Settling Time Control for Self-Driving Car: Two-Timescales Approach;IEEE Access;2022

4. A data‐driven chassis coordination control strategy;IET Intelligent Transport Systems;2021-05-19

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