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Adjustable parameter-based multi-objective fault estimation observer design for continuous-time/discrete-time dynamic systems

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  • Control Theory and Applications
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Abstract

This paper addresses an adjustable parameter (AP)-based multi-objective fault estimation design for continuous-time/discrete-time dynamic systems. First, a fault estimation observer with AP is constructed to on-line identify the size of occurred faults. The fault estimation design not only possesses a wider application compared with adaptive observers, but also uses the current output information to enhance fault estimation performance. Then a multi-objective approach is proposed to determine the gain matrices of fault estimation observer. Moreover, fault estimation results with the slack-variable technique are obtained to further reduce the conservatism. Finally, simulation results of an aircraft application are presented to illustrate the effectiveness of our contribution.

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, P.R. China

    Ke Zhang & Bin Jiang

  2. Jiangsu Key Laboratory of Internet of Things and Control Technologies, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Ke Zhang & Bin Jiang

  3. CNRS, Centrale Lille, UMR 9189-CRIStAL-Centre de Recherche en Informatique, Signal et Automatique de Lille, Univ. Lille, F-59000, Lille, France

    Vincent Cocquempot

Authors
  1. Ke Zhang
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  2. Vincent Cocquempot
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  3. Bin Jiang
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Corresponding author

Correspondence to Bin Jiang.

Additional information

Recommended by Associate Editor Jun Yoneyama under the direction of Editor Duk-Sun Shim. This work was supported by the National Natural Science Foundation of China under grants 61673207, 61533008, and A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.

Ke Zhang received the Ph.D. degree in Control Theory and Engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2012. He is currently an Associate Professor of Nanjing University of Aeronautics and Astronautics. His research interests include fault diagnosis and fault tolerant control of dynamic systems.

Vincent Cocquempot received the Ph. D. degree in Automatic Control from the Lille University of Sciences and Technologies, in 1993. He is currently a Professor of Lille University of Sciences and Technologies, France. His research interests include robust on-line fault diagnosis for uncertain dynamical nonlinear systems, Fault Detection and Isolation (FDI) and Fault Tolerant Control (FTC) for Hybrid Dynamical Systems.

Bin Jiang received the Ph.D. degree in Automatic Control from Northeastern University, Shenyang, China, in 1995. He had ever been postdoctoral fellow, research fellow and visiting professor in Singapore, France, USA and Canada, respectively. Now he is a Chair Professor of Cheung Kong Scholar Program in Ministry of Education and Dean of College of Automation Engineering in Nanjing University of Aeronautics and Astronautics, China. He currently serves as Associate Editor or Editorial Board Member for a number of journals such as IEEE Trans. On Control Systems Technology; IEEE Trans. On Fuzzy Systems; Int. J. of Control, Automation and Systems; Nonlinear Analysis: Hybrid Systems; Int. J. of Applied Mathematics and Computer Science; Acta Automatica Sinica; Journal of Astronautics. He is a senior member of IEEE, Chair of Control Systems Chapter in IEEE Nanjing Section, a member of IFAC Technical Committee on Fault Detection, Supervision, and Safety of Technical Processes. His research interests include fault diagnosis and fault tolerant control and their applications.

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Zhang, K., Cocquempot, V. & Jiang, B. Adjustable parameter-based multi-objective fault estimation observer design for continuous-time/discrete-time dynamic systems. Int. J. Control Autom. Syst. 15, 1077–1088 (2017). https://doi.org/10.1007/s12555-015-0383-6

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  • DOI: https://doi.org/10.1007/s12555-015-0383-6

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