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

  • Control Theory and Applications
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International Journal of Control, Automation and Systems Aims and scope Submit manuscript

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.

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Author information

Authors and Affiliations

  1. School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China

    Yan Ren, Huimin Wang, Meixia Yue, Kai Weng, Wei Gao & Ning Liu

  2. Dongfang Electronics Co., Ltd., Yantai, 264000, China

    Dong Xie

Authors
  1. Yan Ren
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  2. Huimin Wang
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  3. Dong Xie
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  4. Meixia Yue
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  5. Kai Weng
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  6. Wei Gao
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  7. Ning Liu
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Corresponding author

Correspondence to Huimin Wang.

Additional information

This work is supported by the National Natural Science Foundation (NNSF) of China (62063027), Inner Mongolia Natural Science Foundation (2019MS06002), Science and Technology Project of Inner Mongolia Autonomous Region (2020GG0048), Ministry of Education “Chunhui Plan” Science Research Foundation, and the Key Laboratory of Airborne Optical Imaging and Measurement of Chinese Academy of Sciences Open Foundation.

Yan Ran received her B.S. degree in Beijing University of Aeronautics and Astronautics, in 2016. Her research interests include advanced servo drive control technology, visual navigation technology, and intelligent decision-making and control.

Huimin Wang graduated from Inner Mongolia University of Science and Technology with a Bachelor’s degree in 2019 and is currently studying for a Master’s degree at Inner Mongolia University of Science and Technology. Her research interests include multi-agent collaborative control and advanced servo drive control technology.

Dong Xie graduated from Inner Mongolia University of Science and Technology with a Master’s degree, in 2020. Presently he is working in Dongfang Electronics Co., Ltd.

Meixia Yue graduated from Inner Mongolia University of Science and Technology with a Master’s degree, in 2021. Her research interets include multi-agent collaborative control and advanced servo drive control technology.

Kai Weng is currently studying for a Master’s degree at Inner Mongolia University of Science and Technology. His research interests include multi-agent collaborative control and intelligent decision-making and control.

Wei Gao is currently studying for a Master’s degree at Inner Mongolia University of Science and Technology. His research interests include multi-agent collaborative control and intelligent decision-making and control.

Ning Liu is currently studying for a Master’s degree at Inner Mongolia University of Science and Technology. Her research interests include advanced servo drive control technology.

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Ren, Y., Wang, H., Xie, D. et al. New Terminal Sliding Mode Consensus Algorithm for Disturbed Second-order Multi-agent Systems. Int. J. Control Autom. Syst. 20, 2534–2542 (2022). https://doi.org/10.1007/s12555-021-0438-9

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

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