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Lookup NU author(s): Handong Li, Dr Haimeng Wu, Dr Ishita Gulati, Dr Saleh AliORCiD, Professor Volker Pickert, Emeritus Professor Satnam Dlay
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Vehicle platoon systems are widely recognized as a key enabler to address mass-transport. Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) are two technologies that drive platooning. The inter-vehicle spacing and the collaboration velocity in the platoon are main important parameters that must be controlled. Recently, a new mass-transport system has been proposed, called the Tracked Electric Vehicles (TEV). In TEV, the inter-vehicular spacing is reduced to only a quarter of the regular car length and cars drive at 200km/h which enable mass transport at uniform speed. However, conventional radar based Adaptive Cruise Control (ACC) system fail to control each vehicle in these scenarios. Lately, Sliding Mode Control (SMC) has been applied to control platoons with communication technology but with low speed and without delay. This paper proposes a novel SMC design for TEV using global dynamic information with the communication delay. Also, graph theory has been employed to investigate different V2V communication topology structures. To address the issues of node vehicle stability and string stability, Lyapunov candidate function is chosen and developed for in-depth analysis. In addition, this paper, uses first-order vehicle models with different acceleration and deceleration parameters for simulation validations under communication delay. The results show that this novel SMC has a significant tolerance ability therefore meet the design requirements of TEV.
Author(s): Li H, Wu H, Gulati I, Ali S, Pickert V, Dlay S
Publication type: Article
Publication status: Published
Journal: IET Intelligent Transport Systems
Year: 2022
Volume: 16
Issue: 7
Pages: 958-970
Print publication date: 01/07/2022
Online publication date: 28/04/2022
Acceptance date: 31/03/2022
Date deposited: 05/04/2022
ISSN (print): 1751-956X
ISSN (electronic): 1751-9578
Publisher: Institution of Engineering and Technology (IET)
URL: https://doi.org/10.1049/itr2.12189
DOI: 10.1049/itr2.12189
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