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Distributed Model Reference Control for Synchronization of a Vehicle Platoon with Limited Output Information and Subject to Periodical Intermittent Information

Open Access
|Dec 2023

Abstract

Vehicles involved in platoon formation may experience difficulties in obtaining full-state information that can be exchanged and used for controller synthesis. Therefore, a distributed controller based on a model reference and designed utilizing a cooperative observer is proposed for vehicle platoon synchronization. The proposed controller is composed of three main blocks, namely, the reference model, the cooperative observer and the main controller. The reference model is developed by using a homogeneous vehicle platoon that utilizes cooperative full-state information. The cooperative observer is a state estimator which is constructed based on the cooperative output estimation error. It provides state estimates to be used by the main controller. The main controller is constructed from a nominal control and a synchronization input. The nominal control has the main task of tracking the lead vehicle, while in order to reduce the synchronization error, the synchronization input is added by utilizing the cooperative disagreement error. Stability analysis is focused on the vehicle platoon when it is subjected to completely periodical intermittent information. The condition on the information rate is derived for guaranteeing the synchronization of the platoon. Numerical simulation of a vehicle platoon consisting of one leader and five followers is used to examine the performance of the controller.

DOI: https://doi.org/10.34768/amcs-2023-0039 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 537 - 551
Submitted on: Nov 30, 2022
Accepted on: Apr 19, 2023
Published on: Dec 21, 2023
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2023 Agung Prayitno, Veronica Indrawati, Itthisek Nilkhamhang, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.