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Finite-time ADRC formation control for uncertain nonaffine nonlinear multi-agent systems with prescribed performance and input saturation

Published online by Cambridge University Press:  06 July 2023

Zhixiong Zhang Open the ORCID record for Zhixiong Zhang [Opens in a new window] ,
Kaijun Yang  and
Lingcong Ouyang
Zhixiong Zhang
Affiliation:
School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi’an, P.R. China
Kaijun Yang*
Affiliation:
School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi’an, P.R. China
Lingcong Ouyang
Affiliation:
School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi’an, P.R. China
*
Corresponding author: Kaijun Yang; Email: kaijunyang@sust.edu.cn
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Abstract

This paper explores finite-time formation control of multi-agent systems (MASs) with high-order nonaffine nonlinear dynamics and saturated input. Based on active disturbance rejection control theory, extended state observer is employed to identify unknown nonaffine nonlinear functions in MASs. The proposed control law consisting of backstepping control, tracking differentiator, and finite-time performance function is adopted for MASs to achieve the desired formation while reaching performance requirements. An auxiliary dynamic compensator is introduced to correct the control deviation caused by input saturation. Lyapunov stability theory is utilized to analyze the stability of the closed-loop system, which guarantees that the formation tracking error can asymptotically converge to an arbitrarily small neighborhood around zero in finite time. Finally, the simulation results show that compared to the adaptive, cooperative learning, and virtual structure methods, the proposed control algorithm has stronger tracking ability and faster setting time (1.8 s) under the influence of nonaffine nonlinear uncertainties. The integral square error for the formation control strategy in this paper is 0.16, which is much smaller than the abovementioned methods and is therefore provided to manifest the validity and feasibility of the proposed control strategy.

Keywords

multi-agent systems (MASs)active disturbance rejection control (ADRC)input saturationprescribed performancebackstepping control
Type
Research Article
Information
Robotica , Volume 41 , Issue 10 , October 2023 , pp. 3079 - 3100
Copyright
© The Author(s), 2023. Published by Cambridge University Press

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