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Fault Diagnosis and Statistical Information Tracking Fault Tolerant Control for Non-Gaussian Non-linear Stochastic Systems

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  • Control Theory and Applications
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Abstract

A novel fault diagnosis and fault tolerant control algorithm for non-Gaussian non-linear stochastic systems is presented in this paper. Different from conventional fault diagnosis algorithms, the statistical information function rather than the output value is used as the driven information to design the adaptive fault diagnosis observer. Finally, based on the fault diagnosis information, a new fault-tolerant controller based on sliding mode tracking control scheme is designed to make the post-fault statistical information function still track the target one. A simulated example is included to illustrate the effectiveness of the theoretical results.

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Authors and Affiliations

  1. School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China

    Yacun Guan, Lifan Li & Lina Yao

Authors
  1. Yacun Guan
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  2. Lifan Li
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  3. Lina Yao
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Corresponding author

Correspondence to Lina Yao.

Additional information

Recommended by Associate Editor Andrea Cristofaro under the direction of Editor Duk-Sun Shim. This work was supported by Chinese NSFC grant 61374128, State Key Laboratory of Synthetical Automation for Process Industries, the Science and Technology Innovation Talents 14HASTIT040 in Colleges and Universities in Henan Province, China and Excellent Young Scientist Development Fundation 1421319086 of Zhengzhou University, China.

Yacun Guan received her B.S. and M.S. degrees from Xuchang University University and Zhengzhou University, China, in 2013 and 2016, respectively. She is currently pursuing a Ph.D. degree with the Nanjing University of Aeronautics and Astronautics. Her current research interests include distributed parameter system, fault tolerant control.

Lifan Li received her B.S. and M.S. degrees from Zhengzhou University of Light Industry and Zhengzhou University, China, in 2015 and 2017, respectively. She is currently pursuing a Ph.D. degree with the Zhengzhou University. Her research interest is in fault diagnosis and fault tolerant control for stochastic distribution systems.

Lina Yao received the Ph.D. degree in control theory and control engineering from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2006. From September 2007 to March 2008, she was Research Fellow in University of Science and Technology of Lille, France. She is currently a Professor in School of Electrical Engineering, Zhengzhou University, China. Her research interests include fault diagnosis and fault tolerant control of dynamic systems, stochastic distribution control and their applications.

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Guan, Y., Li, L. & Yao, L. Fault Diagnosis and Statistical Information Tracking Fault Tolerant Control for Non-Gaussian Non-linear Stochastic Systems. Int. J. Control Autom. Syst. 16, 2303–2311 (2018). https://doi.org/10.1007/s12555-017-0612-2

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  • DOI: https://doi.org/10.1007/s12555-017-0612-2

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