An adaptive fuzzy control technique for a high‐speed vehicular platoon experiencing communication delays
-
Published:2023-10-25
Issue:1
Volume:18
Page:173-185
-
ISSN:1751-956X
-
Container-title:IET Intelligent Transport Systems
-
language:en
-
Short-container-title:IET Intelligent Trans Sys
Author:
Li Handong1ORCID,
Wu Haimeng2ORCID,
Gulati Ishita1,
Ali Saleh A.1ORCID,
Pickert Volker1,
Dlay Satnam1
Affiliation:
1. School of Electrical and Electronic Engineering Newcastle University Newcastle upon Tyne UK
2. Department of Mathematics Physics and Electrical Engineering, Northumbria University Newcastle upon Tyne UK
Abstract
AbstractVehicle platooning is seen as an enabler to improve driving safety, traffic congestion and stress‐free driving. A platoon is a highly non‐linear system and fuzzy control is able to deal with those systems. This paper presents a pioneering solution to the complex problem of vehicle platooning. Our adaptive controller seamlessly integrates fuzzy logic with conventional PID control technology, thereby ensuring safe and efficient travel for vehicles within a platoon. The key objectives of this controller encompass the maintenance of a consistent inter‐vehicle time gap and the consideration of time‐varying parameter uncertainties and communication delays between vehicles. It provides mathematical proof of the stability of the platoon formation using the Routh–Hurwitz theorem and a set of equations that describe the platoon's overall performance. Simulation results show that the proposed controller is effective in controlling vehicle platoons, even in the presence of random communication delays, resulting in improved driving safety and reduced traffic congestion.
Publisher
Institution of Engineering and Technology (IET)
Subject
Law,Mechanical Engineering,General Environmental Science,Transportation
Reference38 articles.
1. Secure v2v and v2i communication in intelligent transportation using cloudlets;Gupta M.;IEEE Trans. Serv. Comput.,2020
2. Wheel hub active power collection unit for dynamic conductive road charging;Ali S.A.;IEEE Trans. Transp. Electrif.,2022
3. Vehicle communication network in intelligent transportation system based on Internet of Things
4. Bergenhem C. Shladover S. Coelingh E. Englund C. Tsugawa S.:Overviewof platooning systems. In: Proceedings of the 19th ITS World Congress 22–26 Oct Vienna Austria(2012)