Regular Papers

International Journal of Control, Automation and Systems 2022; 20(8): 2534-2542

Published online July 12, 2022

https://doi.org/10.1007/s12555-021-0438-9

© The International Journal of Control, Automation, and Systems

New Terminal Sliding Mode Consensus Algorithm for Disturbed Second-order Multi-agent Systems

Yan Ren, Huimin Wang*, Dong Xie, Meixia Yue, Kai Weng, Wei Gao, and Ning Liu

Inner Mongolia University of Science and Technology

Abstract

A finite-time adaptive tracking control algorithm based on non-singular terminal sliding mode (NTSM) is proposed to solve the consensus problem of second-order multi-agent system (MAS) with disturbance. Firstly, a finite-time disturbance observer based on NTSM is introduced to estimate and compensate the disturbance. Then, a NTSM adaptive controller is designed to enhance the robustness of the system, and improve the response speed and tracking accuracy. A proof of the finite-time convergence of the method is given by using Lyapunov theory. Finally, simulation experiments are carried out to demonstrate the effectiveness of the proposed method. "

Keywords Disturbance observer, finite-time convergence, MAS, NTSM

Article

Regular Papers

International Journal of Control, Automation and Systems 2022; 20(8): 2534-2542

Published online August 1, 2022 https://doi.org/10.1007/s12555-021-0438-9

Copyright © The International Journal of Control, Automation, and Systems.

New Terminal Sliding Mode Consensus Algorithm for Disturbed Second-order Multi-agent Systems

Yan Ren, Huimin Wang*, Dong Xie, Meixia Yue, Kai Weng, Wei Gao, and Ning Liu

Inner Mongolia University of Science and Technology

Abstract

A finite-time adaptive tracking control algorithm based on non-singular terminal sliding mode (NTSM) is proposed to solve the consensus problem of second-order multi-agent system (MAS) with disturbance. Firstly, a finite-time disturbance observer based on NTSM is introduced to estimate and compensate the disturbance. Then, a NTSM adaptive controller is designed to enhance the robustness of the system, and improve the response speed and tracking accuracy. A proof of the finite-time convergence of the method is given by using Lyapunov theory. Finally, simulation experiments are carried out to demonstrate the effectiveness of the proposed method. "

Keywords: Disturbance observer, finite-time convergence, MAS, NTSM

IJCAS
January 2025

Vol. 23, No. 1, pp. 1~88

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