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Switched Detection Filter Design for Nonlinear Systems

Received: 26 February 2019     Accepted: 3 April 2019     Published: 7 May 2019
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Abstract

This paper presents the application of the concept of detection filters to the detection of faults in nonlinear systems. The nonlinear dynamics in specific meaningful points of the operation is approximated by means of a matched array of linear systems. Then, linear filters are designed for each particular subsystem and a switching scheme is applied to carefully choose the most suitable filter regarding the operational characteristics of the plant in real time. Stability of the switching process is guaranteed by keeping the switching time between two consecutive switching large enough to ensure a proper falloff of filter transients. Therefore, apart from the solution of the standard linear-quadratic optimization problem represented by the detection filter design problem one has to derive sufficient conditions for the observation error dynamics to be globally asymptotically stable during switching. The goal is to find a common minimum of the switching time to each specific level calculated separately for every single filter that can be used as a restriction for the switching signal. The idea is demonstrated with the application to the detection of faults in the air path of a diesel engine. The results can be considered as the extension of the standard linear fault detection filtering problem to nonlinear systems.

Published in American Journal of Mechanical and Industrial Engineering (Volume 4, Issue 1)
DOI 10.11648/j.ajmie.20190401.11
Page(s) 1-10
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Switched Linear System, Dwell Time, Switched Fault Detection Filter, MFARE

References
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[3] Guermouche Mohamed, Benkaci Mourad, Hoblos Ghaleb and Langlois Nicolas. Sensor fault detection and isolation in diesel air path using fuzzy-ARTMAP neural network. IEEE 10th International Conference on Networking, Sensing and Control (ICNSC). Evry, France, 2013, pp.728-733.
[4] Krishnaswami Venkat, Chun-L G., and Rizzoni Giorgio. Fault Detection in IC Engines using Nonlinear Parity Equations. Proceedings of the American Control Conference. Baltimore, Maryland, 1994, pp. 2001-2005.
[5] Vanek Bálint, Szabó Zoltán, Edelmayer András, Bokor József. Geometric LPV fault detection filter design for commercial aircrafts. AIAA Guidance, Navigation and Control Conference. Portland, OR, United States, 2011.
[6] Edelmayer András, Bokor József, Szabó Zoltán. A geometric view on inversion-based detection filter design in nonlinear systems. In Proceedings of the fifth IFAC symposium on fault detection, supervision and safety of technical processes. SAFEPROCESS, Washington, 2003, pp. 783-788.
[7] Paxman Jonathan. Switching Controllers: Realization, Initialization and Stability. Ph.D Dissertation. University of Cambridge, 2003.
[8] DeCarlo Raymond A., Branicky Michael, Pettersson Stefan and Lennartson Bengt. Perspectives and Results On the Stability and Stabilizability of Hybrid Systems. Proc. IEEE. Vol. 88, 2000, pp. 1069-1082.
[9] Liberzon Daniel, A. Stephen Morse. Basic Problems in Stability and Design of Switched Systems. IEEE Contr. Syst. 1999, pp. 59-70.
[10] João Pedro Hespanha, A. Stephen Morse. Stability of switched systems with average dwell-time. Proc. 38th Conf. Decision and Contr. 1999, pp. 2655-2660.
[11] Alessandri Angelo, Coletta Paolo. Switching observers for continuous-time and discrete-time linear systems. In Proceedings of the American Control Conference Arlington. 2001.
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[13] Colaneri Patrizio. Analysis and control of linear switched system. Lecture notes. Politecnico Di Milano, 2009.
[14] Horváth Zsolt, Edelmayer András. Robust Model-Based Detection of Faults in the Air Path of Diesel Engines. Acta Universitatis Sapientiae Electrical and Mechanical Engineering. Vol.7, 2015, pp. 5-22.
[15] Edelmayer András, Bokor József, Keviczky László. An H∞ Filtering Approach to Robust Detection of Failures in Dynamical Systems. In Proc. 33th Annual Decision and Control, Conf. Buena Vista, USA, 1994, pp. 3037-3039.
[16] Edelmayer András, Bokor József, Keviczky László. An H∞ Filter Design for Linear Systems: Comparison of two Approaches. IFAC 13th Triennial World Congress. San Francisco, USA, 1996.
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[18] Horváth Zsolt, Edelmayer András. Solving of the Modified Filter Algebraic Riccati Equation for H-infinity fault detection filtering. Acta Universitatis Sapientiae Electrical and Mechanical Engineering. Vol. 9, 2017, pp. 57-77.
[19] Geromel Jose C., Colaneri Patrizio. H∞ and Dwell Time Specifications of Switched Linear Systems. Proceedings of the 47th IEEE Conference on Decision and Control. Cancun, 2008.
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[21] Chen Weitian, Saif Mehrdad. Observer design for linear switched control systems. American Control Conference Proceedings of the 2004. 0-7803-8335-4, Boston, 2004.
[22] Horváth Zsolt, Csomós Petra. A Switched Linear System Approach to the Modeling of the Air Path of Diesel Engines. Proc. of the 14th ICCMSE International Conference of Computational Methods in Sciences and Engineering. Thessaloniki, 2018.
[23] See supplementary material at https://de.mathworks.com/help/robust/ref/mincx.html.
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[25] Boyd Stephen, Laurent El Ghaoui, Feron Erik and Balakrishnan Venkataramanan. Linear Matrix Inequalities in System and Control Theory. SIAM. Philadelphia, 1994.
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[27] Guang-Ren Duan, Hai-Hua Yu. LMIs in Control Systems: Analysis, Design and Applications. CRC Press. Boca Raton, 2013.
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[29] Horváth Zsolt, Edelmayer András. Determining the common minimum dwell time for switched H∞ fault detection filtering. Przeglad Elektrotechniczny. 2018.
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Cite This Article
  • APA Style

    Zsolt Horváth, András Edelmayer. (2019). Switched Detection Filter Design for Nonlinear Systems. American Journal of Mechanical and Industrial Engineering, 4(1), 1-10. https://doi.org/10.11648/j.ajmie.20190401.11

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    ACS Style

    Zsolt Horváth; András Edelmayer. Switched Detection Filter Design for Nonlinear Systems. Am. J. Mech. Ind. Eng. 2019, 4(1), 1-10. doi: 10.11648/j.ajmie.20190401.11

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    AMA Style

    Zsolt Horváth, András Edelmayer. Switched Detection Filter Design for Nonlinear Systems. Am J Mech Ind Eng. 2019;4(1):1-10. doi: 10.11648/j.ajmie.20190401.11

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  • @article{10.11648/j.ajmie.20190401.11,
      author = {Zsolt Horváth and András Edelmayer},
      title = {Switched  Detection Filter Design for Nonlinear Systems},
      journal = {American Journal of Mechanical and Industrial Engineering},
      volume = {4},
      number = {1},
      pages = {1-10},
      doi = {10.11648/j.ajmie.20190401.11},
      url = {https://doi.org/10.11648/j.ajmie.20190401.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20190401.11},
      abstract = {This paper presents the application of the concept of  detection filters to the detection of faults in nonlinear systems. The nonlinear dynamics in specific meaningful points of the operation is approximated by means of a matched array of linear systems. Then, linear  filters are designed for each particular subsystem and a switching scheme is applied to carefully choose the most suitable filter regarding the operational characteristics of the plant in real time. Stability of the switching process is guaranteed by keeping the switching time between two consecutive switching large enough to ensure a proper falloff of filter transients. Therefore, apart from the solution of the standard linear-quadratic optimization problem represented by the  detection filter design problem one has to derive sufficient conditions for the observation error dynamics to be globally asymptotically stable during switching. The goal is to find a common minimum of the switching time to each specific  level calculated separately for every single filter that can be used as a restriction for the switching signal. The idea is demonstrated with the application to the detection of faults in the air path of a diesel engine. The results can be considered as the extension of the standard linear  fault detection filtering problem to nonlinear systems.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Switched  Detection Filter Design for Nonlinear Systems
    AU  - Zsolt Horváth
    AU  - András Edelmayer
    Y1  - 2019/05/07
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    N1  - https://doi.org/10.11648/j.ajmie.20190401.11
    DO  - 10.11648/j.ajmie.20190401.11
    T2  - American Journal of Mechanical and Industrial Engineering
    JF  - American Journal of Mechanical and Industrial Engineering
    JO  - American Journal of Mechanical and Industrial Engineering
    SP  - 1
    EP  - 10
    PB  - Science Publishing Group
    SN  - 2575-6060
    UR  - https://doi.org/10.11648/j.ajmie.20190401.11
    AB  - This paper presents the application of the concept of  detection filters to the detection of faults in nonlinear systems. The nonlinear dynamics in specific meaningful points of the operation is approximated by means of a matched array of linear systems. Then, linear  filters are designed for each particular subsystem and a switching scheme is applied to carefully choose the most suitable filter regarding the operational characteristics of the plant in real time. Stability of the switching process is guaranteed by keeping the switching time between two consecutive switching large enough to ensure a proper falloff of filter transients. Therefore, apart from the solution of the standard linear-quadratic optimization problem represented by the  detection filter design problem one has to derive sufficient conditions for the observation error dynamics to be globally asymptotically stable during switching. The goal is to find a common minimum of the switching time to each specific  level calculated separately for every single filter that can be used as a restriction for the switching signal. The idea is demonstrated with the application to the detection of faults in the air path of a diesel engine. The results can be considered as the extension of the standard linear  fault detection filtering problem to nonlinear systems.
    VL  - 4
    IS  - 1
    ER  - 

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Author Information
  • School of Postgraduate Studies of Multidisciplinary Sciences, Faculty of Technical Sciences, Széchenyi István University, Gy?r, Hungary

  • Department of Informatics Engineering, Faculty of Technical Sciences, Széchenyi István University, Gy?r, Hungary

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