IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v48y2017i6p1331-1346.html
   My bibliography  Save this article

Observer-based fuzzy adaptive fault control for a class of MIMO nonlinear systems

Author

Listed:
  • Zhiyao Ma
  • Yongming Li
  • Shaocheng Tong

Abstract

In this paper, the fault-tolerant control (FTC) problem is investigated for a class of multi-input multiple output nonlinear systems with time-varying delays, and an active FTC method is proposed. The controlled system contains unknown nonlinear functions, unknown control gain functions and actuator faults, which integrates time-varying bias and gain faults. Then, fuzzy logic systems are used to approximate the unknown nonlinear functions and unknown control gain functions, fuzzy adaptive observers are used for fault detection and isolation. Further, based on the obtained information, an accommodation method is proposed for compensating the actuator faults. It is shown that all the variables of the closed-loop system are semi-globally uniformly bounded, the tracking error converges to an arbitrary small neighbourhood of the origin. A simulation is given to demonstrate the effectiveness of the proposed approach.

Suggested Citation

  • Zhiyao Ma & Yongming Li & Shaocheng Tong, 2017. "Observer-based fuzzy adaptive fault control for a class of MIMO nonlinear systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(6), pages 1331-1346, April.
    • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:6:p:1331-1346
    DOI: 10.1080/00207721.2016.1261306
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2016.1261306
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2016.1261306?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhifeng Gao & Bin Jiang & Ruiyun Qi & Yufei Xu, 2011. "Robust reliable control for a near space vehicle with parametric uncertainties and actuator faults," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(12), pages 2113-2124.
    2. Xiao-Zheng Jin & Guang-Hong Yang & Xiao-Heng Chang, 2013. "Robust and adaptive tracking control against actuator faults with a linearised aircraft application," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(1), pages 151-165.
    3. Jian Li & Guang-Hong Yang, 2013. "Fault detection and isolation for discrete-time switched linear systems based on average dwell-time method," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(12), pages 2349-2364.
    4. Qinglei Hu & Bing Xiao, 2013. "Adaptive fault tolerant control using integral sliding mode strategy with application to flexible spacecraft," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(12), pages 2273-2286.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Wei & Ma, Qian & Zhuang, Guangming & Lu, Junwei & Chu, Yuming, 2019. "An improved adaptive neural dynamic surface control for pure-feedback systems with full state constraints and disturbance," Applied Mathematics and Computation, Elsevier, vol. 358(C), pages 37-50.
    2. Wang, Huanqing & Ai, Yingdong, 2022. "Adaptive fixed-time control and synchronization for hyperchaotic Lü systems," Applied Mathematics and Computation, Elsevier, vol. 433(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu, Zhefeng & Zhao, Feng & Ding, Shihong & Chen, Xiangyong, 2022. "Adaptive pre-assigned finite-time control of uncertain nonlinear systems with unknown control gains," Applied Mathematics and Computation, Elsevier, vol. 417(C).
    2. P.R. Ouyang & V. Pano & T. Dam, 2015. "PID position domain control for contour tracking," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(1), pages 111-124, January.
    3. Vimal Kumar, S. & Raja, R. & Marshal Anthoni, S. & Cao, Jinde & Tu, Zhengwen, 2018. "Robust finite-time non-fragile sampled-data control for T-S fuzzy flexible spacecraft model with stochastic actuator faults," Applied Mathematics and Computation, Elsevier, vol. 321(C), pages 483-497.
    4. Ngoc Phi Nguyen & Sung Kyung Hong, 2018. "Fault-Tolerant Control of Quadcopter UAVs Using Robust Adaptive Sliding Mode Approach," Energies, MDPI, vol. 12(1), pages 1-15, December.
    5. Xu, Xiaofeng & Chen, Mou & Li, Tao & Wu, Qingxian, 2021. "Composite fault tolerant attitude control for flexible satellite system under disturbance and input delay," Applied Mathematics and Computation, Elsevier, vol. 409(C).
    6. Vasile Dragan, 2014. "Robust stabilisation of discrete-time time-varying linear systems with Markovian switching and nonlinear parametric uncertainties," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(7), pages 1508-1517, July.
    7. Zhao, Zhi-Ye & Jin, Xiao-Zheng & Wu, Xiao-Ming & Wang, Hai & Chi, Jing, 2022. "Neural network-based fixed-time sliding mode control for a class of nonlinear Euler-Lagrange systems," Applied Mathematics and Computation, Elsevier, vol. 415(C).
    8. R. Sakthivel & S. Selvi & K. Mathiyalagan & Y. Shi, 2016. "Reliable gain-scheduled control of discrete-time systems and its application to CSTR model," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(14), pages 3447-3454, October.
    9. Ngoc Phi Nguyen & Sung Kyung Hong, 2019. "Fault Diagnosis and Fault-Tolerant Control Scheme for Quadcopter UAVs with a Total Loss of Actuator," Energies, MDPI, vol. 12(6), pages 1-22, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tsysxx:v:48:y:2017:i:6:p:1331-1346. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSYS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.