Disturbance Rejection for Systems With Uncertainties Based on Fixed-Time Equivalent-Input-Disturbance Approach

Qun Lu; Xiang Wu; Jinhua She; Fanghong Guo; Li Yu

doi:10.1109/JAS.2024.124650

Volume 11 Issue 12

Dec. 2024

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2024 > 11(12): 2384-2395

Q. Lu, X. Wu, J. She, F. Guo, and L. Yu, “Disturbance rejection for systems with uncertainties based on fixed-time equivalent-input-disturbance approach,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2384–2395, Dec. 2024. doi: 10.1109/JAS.2024.124650

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Q. Lu, X. Wu, J. She, F. Guo, and L. Yu, “Disturbance rejection for systems with uncertainties based on fixed-time equivalent-input-disturbance approach,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2384–2395, Dec. 2024. doi: 10.1109/JAS.2024.124650

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Disturbance Rejection for Systems With Uncertainties Based on Fixed-Time Equivalent-Input-Disturbance Approach

doi: 10.1109/JAS.2024.124650

Funds: This work was supported in part by the Natural Science Foundation of China (62003292, 62203391), the Natural Science Foundation of Zhejiang Province (LQ22F030015, LDT23E05014F03), and JSPS (Japan Society for the Promotion of Science) KAKENHI (22H03998, 23K25252)

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Author Bio:
Qun Lu received the B.E. degree in mechatronics from the Yancheng Institute of Technology in 2011, and the Ph.D. degree in control science and engineering from the Zhejiang University of Technology in 2018. He was a Research Intern with the Department of Mechanical, Industrial, and Aerospace Engineering, Concordia University, Canada. He is currently a Lecturer with the School of Aeronautical Engineering, Taizhou University. His current research interests include nonlinear control and applications

Xiang Wu received the B.S. degree in automation, the M.S. degree in control engineering, and the Ph.D. degree in control science and engineering from the Zhejiang University of Technology in 2012, 2015, and 2020, respectively. He is currently an Associate Researcher with the Zhejiang Provincial United Key Laboratory of Embedded Systems, Zhejiang University of Technology. His current research interests include networked motion control systems, disturbance rejection, and optimization learning algorithm

Jinhua She (Fellow, IEEE) received the B.S. degree from Central South University China, in 1983 and the M.S. and Ph.D. degrees from the Tokyo Institute of Technology, Japan in 1990 and 1993, respectively, all in engineering. In 1993, he joined the School of Engineering, Tokyo University of Technology, Japan, where he is currently a Professor. His research interests include the applications of control theory, repetitive control, mobile education, and assistive robotics. Dr. She is a Member of the Society of Instrument and Control Engineers (SICE), the Institute of Electrical Engineers of Japan (IEEJ), the Japan Society of Mechanical Engineers (JSME), Architectural Institute of Japan (AIJ), Japan Society for Design Engineering (JSDE), Chinese Association of Automation (CAA), and the Asian Control Association (ACA). He was the recipient of the Control Engineering Practice Paper Prize from International Federation of Automatic Control (IFAC) in 1999 (jointly with M. Wu and M. Nakano)

Fanghong Guo (Senior Member, IEEE) received the B.Eng. degree in automation science from Southeast University in 2010, the M.Eng. degree in automation science and electrical engineering from Beihang University in 2013, and the Ph.D. degree in sustainable earth from Energy Research Institute @NTU, Interdisciplinary Graduate School, Nanyang Technological University, Singapore in 2016. He was a Research Associate and then a Research Fellow with the Rolls-Royce Cooperate Lab @NTU, Nanyang Technological University, from May 2016 to April 2017. From May 2017 to July 2018, he was a Scientist with the Experimental Power Grid Centre (EPGC), Agency for Science, Technology and Research (A*STAR), Singapore. He is currently with the Zhejiang Provincial United Key Laboratory of Embedded Systems, Zhejiang University of Technology. His research interests include distributed cooperative control, distributed optimization on microgrid systems, and smart grid. He servers as an Associate Editor for IEEE Transactions on Industrial Electronics

Li Yu (Senior Member, IEEE) received the B.S. degree in control theory from Nankai University in 1982, and the M.S. and Ph.D. degrees in control science and engineering from Zhejiang University, in 1988 and 1999, respectively. He is currently a Professor with the College of Information Engineering, Zhejiang University of Technology. His current research interests include cyber-physical systems security, wireless sensor networks, networked control systems, and motion control. He has authored or co-authored three books and over 200 journal or conference papers
Corresponding author: Jinhua She, e-mail: she@stf.teu.ac.jp
Received Date: 2024-05-12
Accepted Date: 2024-06-26

Available Online: 2024-08-23

Abstract

Abstract

This paper presents a fixed-time equivalent-input-disturbance (EID) approach to deal with the problem of robust output-feedback control for perturbed uncertain systems. This method uses the basic structure of the conventional EID approach and treats uncertainties and disturbances as a lumped disturbance on the control-input channel. A fixed-time state observer enables state estimation, which resolves the causality issue in an EID-based control system, is finished in a fixed time. An implicit Lyapunov function, the homogeneity with dilation, the input-to-state stability, and the small-gain theorem are used to analyze the convergence and robustness of the EID-based system with measurement noise. Numerical and experimental results are presented to demonstrate the effectiveness and superiority of the proposed method.
- Disturbance rejection,
- equivalent-input-disturbance (EID) approach,
- fixed-time stability,
- measurement noise,
- output feedback control

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References

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The proposed fixed-time EID method allows EID to handle finite-time observation tasks
The filter in the approach can achieve fast disturbance reconstruction of disturbances
The fixed-time EID also demonstrates a degree of robustness to measurement noise

Disturbance Rejection for Systems With Uncertainties Based on Fixed-Time Equivalent-Input-Disturbance Approach

doi: 10.1109/JAS.2024.124650

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