JOURNAL ARTICLE

Nonlinear Disturbance Observer-Based Bearing-Only Unmanned Aerial Vehicle Formation Control

Can DingJing ZhangZhe Zhang

Year: 2023 Journal:   Axioms Vol: 12 (8)Pages: 768-768   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

This article primarily investigates nonlinear disturbance observer-based bearing-only formation tracking control for unmanned aerial vehicle (UAV) systems that encounter uncertainties and disturbances. The employed distributed control strategy relies solely on the relative bearing information of neighboring UAVs. To tackle the challenges posed by unknown disturbances and system uncertainties, a novel nonlinear disturbance observer is proposed to effectively mitigate their impact. Moreover, the issue of unknown controller orientation arising from controller singularities is addressed by introducing a Butterworth low-pass filter. This filter ensures a consistent controller gain and enhances disturbance suppression, ultimately transforming the controller gain function into a constant value of 1. Subsequently, a bearing-only formation tracking controller is developed using the backstepping control approach. The stability of the closed-loop control systems is rigorously proven using Lyapunov theory. Finally, numerical simulations are conducted to validate the effectiveness of the proposed scheme in achieving formation control objectives.

Keywords:
Control theory (sociology) Backstepping Controller (irrigation) Nonlinear system Lyapunov function Disturbance (geology) Lyapunov stability Filter (signal processing) Control engineering Computer science Observer (physics) Bearing (navigation) Engineering Adaptive control Control (management) Artificial intelligence Physics

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0.44
FWCI (Field Weighted Citation Impact)
36
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0.50
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Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Control and Dynamics of Mobile Robots
Physical Sciences →  Engineering →  Control and Systems Engineering
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