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Distributed Fixed-Time Leader-Tracking Control for Heterogeneous Uncertain Autonomous Connected Vehicles Platoons | IEEE Conference Publication | IEEE Xplore

Distributed Fixed-Time Leader-Tracking Control for Heterogeneous Uncertain Autonomous Connected Vehicles Platoons


Abstract:

Longitudinal control for platoons of connected autonomous vehicles is a hot research topic in the Cooperative Intelligent Transport Systems (C-ITSs) domain. Most of the e...Show More

Abstract:

Longitudinal control for platoons of connected autonomous vehicles is a hot research topic in the Cooperative Intelligent Transport Systems (C-ITSs) domain. Most of the existing results solve the platooning problem asymptotically, without ensuring that the consensus could be achieved in a finite settling time. To this aim, in this work we address the problem of guaranteeing the leader-tracking for heterogeneous vehicles platoons in a fixed time despite the presence of external disturbances. To solve this problem, by exploiting the integral sliding mode (ISM) approach and the Lyapunov theory, we propose a distributed control strategy able to ensure the leader-tracking in a finite settling time which is independent from any vehicles initial conditions. The simulation analysis, carried out in two different driving scenarios, confirms the effectiveness of the theoretical derivation.
Date of Conference: 22-25 June 2021
Date Added to IEEE Xplore: 15 July 2021
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Conference Location: PUGLIA, Italy
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I. Introduction

Over the past decades, the advances in information communication technology have attracted considerable attention in C-ITS domain due to the benefit they could lead in terms of road safety increasing and the decreasing of the environmental pollution [1]. Specifically, the deployment of connected autonomous vehicles platoons moving in formation with a common velocity while keeping a prefixed inter-vehicular distance may significantly improve different aspects of the vehicular traffic flow such as the traffic congestion [2]. In this driving scenario, all vehicles are connected through Vehicle-to-Vehicle (V2V) wireless communication paradigm and exchange information by exploiting the de facto IEEE 802.11p communication protocol [3]. Leveraging these information, the aim of the cooperative control strategies is to guarantee that each vehicle within the platoon tracks the reference behaviour as imposed by the leader, i.e. the first vehicle of the fleet, while achieving the desired formation w.r.t. the communicating vehicles [4].

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