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Finite-Time Command-Filtered Lateral-Longitudinal Formation Control of Vehicles on Rough Roads

Ge Guo, Qian Zhang

2023IEEE Transactions on Intelligent Vehicles44 citationsDOI

Abstract

This paper investigates the lateral and longitudinal formation control problem of a group of vehicles driving in rough road environments. An adaptive sliding mode disturbance observer is introduced to estimate the road disturbance. Then, based on the road disturbance observer, a conmand-filtered vehicular formation control method is given, which can make the formation tracking errors converge to a small neighborhood of zero in a finite time. In other words, the lateral-longitudinal formation of vehicles can be practically finite-time stabilized despite the road disturbance, via the use of a backstepping control algorithm with a finite-time command filter based on an error compensation mechanism. Numerical simulations have shown the effectiveness of the presented method.

Topics & Concepts

BacksteppingControl theory (sociology)Disturbance (geology)Tracking (education)Observer (physics)Computer scienceFilter (signal processing)Tracking errorCompensation (psychology)Mode (computer interface)Control (management)Adaptive controlGeologyPhysicsArtificial intelligenceComputer visionPaleontologyQuantum mechanicsPedagogyPsychoanalysisOperating systemPsychologyTraffic control and managementVehicle Dynamics and Control SystemsControl and Dynamics of Mobile Robots
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