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Robust Fault Diagnosis Observer Design for Uncertain Switched Systems

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

Abstract

In order to improve the fault diagnosis theory of switched systems, observer-based method is proposed to deal with the fault diagnosis issue subjected to the parameter uncertainty, unknown process disturbances and unexpected faults. By employing proportional-integral observer (PIO) technique and the average dwell-time (ADT) method, an H∞/H− performance level is considered to ensure the worst case of robustness to the disturbance and sensitivity to the fault simultaneously. Moreover, the obtained fault diagnosis observer can give accurate fault estimation online for the piecewise constant fault. Finally, a two-tank system example is introduced in the end to show the effectiveness of the proposed results.

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Authors and Affiliations

  1. Faculty of Automation, Huaiyin Institute of Technology, Huaian, Jiangsu, 223003, China

    Dongsheng Du, Yue Yang & Huanyu Zhao

  2. School of Applied Mathematics, Nanjing University of Finance and Economics, Nanjing, 210023, China

    Yushun Tan

Authors
  1. Dongsheng Du
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  2. Yue Yang
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  3. Huanyu Zhao
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  4. Yushun Tan
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Corresponding author

Correspondence to Dongsheng Du.

Additional information

Recommended by Editor Jessie (Ju H.) Park.

This work is supported by the National Natural Science Foundation of China (No. 61873107), the National Science Foundation for Post-doctoral Scientists of China (2016M601814), and Post-doctoral Foundation of Jiangsu Province (1601005B).

Dongsheng Du received his B.S. degree in mathematics and applied mathematics, an M.S. degree in control theory from Qufu Normal University, Qufu, China, in 2003 and 2006, respectively, and a Ph.D. in control theory and engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2012. From 2008 to 2013, he was a lecturer with the School of Science, Huaihai Institute of Technology. From 2015, he was an Associate Professor with Faculty of Automation, Huaiyin Institute of Technology. From Nov. 2016 to Nov. 2017, he was a visiting scholar with Centre de Recherche en Informatique, Signal et Automatique de Lille, Polytech’Lille, France. His current research interests include fault diagnosis, fault tolerant control and switched system.

Yue Yang received her B.S. degree in Nanjing University of Science and Technology, Nanjing, Chian, in 2018. From 2018 to 2021, she is studying for an M.S. degree in Huaiyin Institute of Technology. Her current research interests include fault diagnosis and its application.

Huanyu Zhao received his B.S. degree in mathematics and applied mathematics from Hubei University in 2005, and a Ph.D. degree in control science and engineering from the Nanjing University of Science and Technology in 2011. In 2010, he was an exchange Ph.D. student with the Department of Electrical and Computer Engineering, Utah State University. From 2013 to 2014, he was a Post-Doctoral Candidate with the Department of Electrical Engineering, Yeungnam University, South Korea. In 2016, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, National University of Singapore. He is currently an Associate Professor with Huaiyin Institute of Technology. His research interests include Markov switching systems, cooperative control of multi-agent systems, and game theory.

Yushun Tan received his B.S. degree in mathematics and applied mathematics from Qufu Normal University, Qufu, China in 2003, an M.S. degree in probability statistics from Huazhong University of Science and Technology, Wuhan, China, in 2006, and a Ph.D. degree in system engineering from Southeast University, Nanjing, China, in 2015. From 2016, he worked as a postdoctoral researcher in School of Automation, Southeast University. Currently, he is a visiting fellow in City University of Hong Kong. He has been with the College of Applied Mathematics, Nanjing University of Finance and Economics since 2006. His research interests include networked control systems, and complex dynamical networks.

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Du, D., Yang, Y., Zhao, H. et al. Robust Fault Diagnosis Observer Design for Uncertain Switched Systems. Int. J. Control Autom. Syst. 18, 3159–3166 (2020). https://doi.org/10.1007/s12555-019-0870-2

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  • DOI: https://doi.org/10.1007/s12555-019-0870-2

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