A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 9 Issue 2
Feb.  2022

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 6.171, Top 11% (SCI Q1)
    CiteScore: 11.2, Top 5% (Q1)
    Google Scholar h5-index: 51, TOP 8
Turn off MathJax
Article Contents
Dong Zhao and Marios M. Polycarpou, "Fault Accommodation for a Class of Nonlinear Uncertain Systems With Event-Triggered Input," IEEE/CAA J. Autom. Sinica, vol. 9, no. 2, pp. 235-245, Feb. 2022. doi: 10.1109/JAS.2021.1004314
Citation: Dong Zhao and Marios M. Polycarpou, "Fault Accommodation for a Class of Nonlinear Uncertain Systems With Event-Triggered Input," IEEE/CAA J. Autom. Sinica, vol. 9, no. 2, pp. 235-245, Feb. 2022. doi: 10.1109/JAS.2021.1004314

Fault Accommodation for a Class of Nonlinear Uncertain Systems With Event-Triggered Input

doi: 10.1109/JAS.2021.1004314
Funds:  This work was supported by the European Union’s Horizon 2020 research and innovation programme grant agreement No. 739551 (KIOS CoE)
More Information
  • The event-triggered fault accommodation problem for a class of nonlinear uncertain systems is considered in this paper. The control signal transmission from the controller to the system is determined by an event-triggering scheme with relative and constant triggering thresholds. Considering the event-induced control input error and system fault threat, a novel event-triggered active fault accommodation scheme is designed, which consists of an event-triggered nominal controller for the time period before detecting the occurrence of faults and an adaptive approximation based event-triggered fault accommodation scheme for handling the unknown faults after detecting the occurrence of faults. The closed-loop stability and inter-event time of the proposed fault accommodation scheme are rigorously analyzed. Special cases for the fault accommodation design under constant triggering threshold are also derived. An example is employed to illustrate the effectiveness of the proposed fault accommodation scheme.

     

  • loading
  • [1]
    S. X. Ding, Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems. London: Springer, 2014.
    [2]
    D. Zhang, G. Feng, Y. Shi, and D. Srinivasan, “Physical safety and cyber security analysis of multi-agent systems: A survey of recent advances,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 319–333, 2021. doi: 10.1109/JAS.2021.1003820
    [3]
    H. Han, Y. Yang, L. Li, and S. X. Ding, “Performance-based fault detection and fault-tolerant control for nonlinear systems with T-S fuzzy implementation,” IEEE Trans. Cybern., vol. 51, no. 2, pp. 801–814, 2021. doi: 10.1109/TCYB.2019.2951534
    [4]
    J. Jiang and X. Yu, “Fault-tolerant control systems: A comparative study between active and passive approaches,” Annu. Rev. Control, vol. 36, no. 1, pp. 60–72, 2012. doi: 10.1016/j.arcontrol.2012.03.005
    [5]
    H. Li, Y. Wu, and M. Chen, “Adaptive fault-tolerant tracking control for discrete-time multiagent systems via reinforcement learning algorithm,” IEEE Trans. Cybern., vol. 51, no. 3, pp. 1163–1174, 2021. doi: 10.1109/TCYB.2020.2982168
    [6]
    H. Noura, D. Sauter, F. Hamelin, and D. Theilliol, “Fault-tolerant control in dynamic systems: Application to a winding machine,” IEEE Control Syst. Mag., vol. 20, no. 1, pp. 33–49, 2000. doi: 10.1109/37.823226
    [7]
    C. Edwards and C. P. Tan, “Sensor fault tolerant control using sliding mode observers,” Control Eng. Pract., vol. 14, no. 8, pp. 897–908, 2006. doi: 10.1016/j.conengprac.2005.05.002
    [8]
    S. Yin, H. Luo, and S. X. Ding, “Real-time implementation of fault-tolerant control systems with performance optimization,” IEEE Trans. Ind. Electron., vol. 61, no. 5, pp. 2402–2411, 2014. doi: 10.1109/TIE.2013.2273477
    [9]
    J. MacGregor and A. Cinar, “Monitoring, fault diagnosis, fault-tolerant control and optimization: Data driven methods,” Comput. Chem. Eng., vol. 47, pp. 111–120, 2012. doi: 10.1016/j.compchemeng.2012.06.017
    [10]
    X. Zhang, T. Parisini, and M. M. Polycarpou, “Adaptive fault-tolerant control of nonlinear uncertain systems: An information-based diagnostic approach,” IEEE Trans. Autom. Control, vol. 49, no. 8, pp. 1259–1274, 2004. doi: 10.1109/TAC.2004.832201
    [11]
    M. Khalili, X. Zhang, M. M. Polycarpou, T. Parisini, and Y. Cao, “Distributed adaptive fault-tolerant control of uncertain multi-agent systems,” Automatica, vol. 87, pp. 142–151, 2018. doi: 10.1016/j.automatica.2017.09.002
    [12]
    H. Li, P. Shi, and D. Yao, “Adaptive sliding-mode control of Markov jump nonlinear systems with actuator faults,” IEEE Trans. Autom. Control, vol. 62, no. 4, pp. 1933–1939, 2016.
    [13]
    Y. Song, L. He, D. Zhang, J. Qian, and J. Fu, “Neuroadaptive fault-tolerant control of quadrotor UAVs: A more affordable solution,” IEEE Trans. Neural Netw. Learn. Syst., vol. 30, no. 7, pp. 1975–1983, 2019. doi: 10.1109/TNNLS.2018.2876130
    [14]
    C. Peng and F. Li, “A survey on recent advances in event-triggered communication and control,” Inf. Sci., vol. 457, pp. 113–125, 2018.
    [15]
    M. Abdelrahim, R. Postoyan, J. Daafouz, and D. Nešić, “Robust event-triggered output feedback controllers for nonlinear systems,” Automatica, vol. 75, pp. 96–108, 2017. doi: 10.1016/j.automatica.2016.09.044
    [16]
    Z. Liu, R. Zheng, W. Lu, and S. Xu, “Using event-based method to estimate cybersecurity equilibrium,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 455–467, 2021. doi: 10.1109/JAS.2020.1003527
    [17]
    W. Heemels, K. H. Johansson, and P. Tabuada, “An introduction to event-triggered and self-triggered control,” in Proc. 51st IEEE Conf. Decision Control., 2012, pp. 3270–3285.
    [18]
    D. Wang and D. Liu, “Learning and guaranteed cost control with event-based adaptive critic implementation,” IEEE Trans. Neural Netw. Learn. Syst., vol. 29, no. 12, pp. 6004–6014, 2018. doi: 10.1109/TNNLS.2018.2817256
    [19]
    A. Amini, A. Asif, and A. Mohammadi, “Formation-containment control using dynamic event-triggering mechanism for multi-agent systems,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1235–1248, 2020.
    [20]
    J. Sun, J. Yang, and S. Li, “Reduced-order GPIO based dynamic event-triggered tracking control of a networked one-DOF link manipulator without velocity measurement,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 3, pp. 725–734, 2020. doi: 10.1109/JAS.2019.1911738
    [21]
    P. Tabuada, “Event-triggered real-time scheduling of stabilizing control tasks,” IEEE Trans. Autom. Control, vol. 52, no. 9, pp. 1680–1685, 2007. doi: 10.1109/TAC.2007.904277
    [22]
    D. V. Dimarogonas, E. Frazzoli, and K. H. Johansson, “Distributed event-triggered control for multi-agent systems,” IEEE Trans. Autom. Control, vol. 57, no. 5, pp. 1291–1297, 2011.
    [23]
    A. Girard, “Dynamic triggering mechanisms for event-triggered control,” IEEE Trans. Autom. Control, vol. 60, no. 7, pp. 1992–1997, 2014.
    [24]
    C. De Persis, R. Sailer, and F. Wirth, “Parsimonious event-triggered distributed control: A Zeno free approach,” Automatica, vol. 49, no. 7, pp. 2116–2124, 2013. doi: 10.1016/j.automatica.2013.03.003
    [25]
    T. Liu and Z.-P. Jiang, “A small-gain approach to robust event-triggered control of nonlinear systems,” IEEE Trans. Autom. Control, vol. 60, no. 8, pp. 2072–2085, 2015. doi: 10.1109/TAC.2015.2396645
    [26]
    L. Xing, C. Wen, Z. Liu, H. Su, and J. Cai, “Adaptive compensation for actuator failures with event-triggered input,” Automatica, vol. 85, pp. 129–136, 2017. doi: 10.1016/j.automatica.2017.07.061
    [27]
    Y. H. Choi and S. J. Yoo, “Event-triggered decentralized adaptive fault-tolerant control of uncertain interconnected nonlinear systems with actuator failures,” ISA Trans., vol. 77, pp. 77–89, 2018. doi: 10.1016/j.isatra.2018.04.011
    [28]
    H. Liang, G. Liu, H. Zhang, and T. Huang, “Neural network-based event-triggered adaptive control of nonaffine nonlinear multiagent systems with dynamic uncertainties,” IEEE Trans. Neural Netw. Learn. Syst., vol. 32, no. 5, pp. 2239–2250, 2021. doi: 10.1109/TNNLS.2020.3003950
    [29]
    C. Wang, L. Guo, and J. Qiao, “Event-triggered adaptive fault-tolerant control for nonlinear systems fusing static and dynamic information,” J. Franklin Inst., vol. 356, no. 1, pp. 248–267, 2019. doi: 10.1016/j.jfranklin.2018.09.036
    [30]
    Q.-Y. Fan and G.-H. Yang, “Event-based fuzzy adaptive fault-tolerant control for a class of nonlinear systems,” IEEE Trans. Fuzzy Syst., vol. 26, no. 5, pp. 2686–2698, 2018. doi: 10.1109/TFUZZ.2018.2800724
    [31]
    K. Sun, L. Liu, J. Qiu, and G. Feng, “Fuzzy adaptive finite-time fault-tolerant control for strict-feedback nonlinear systems,” IEEE Trans. Fuzzy Syst., vol. 29, no. 4, pp. 786–796, 2021.
    [32]
    P. Panagi and M. M. Polycarpou, “Distributed fault accommodation for a class of interconnected nonlinear systems with partial communication,” IEEE Trans. Autom. Control, vol. 56, no. 12, pp. 2962–2967, 2011. doi: 10.1109/TAC.2011.2166313
    [33]
    X. Zhang, Q. Zhang, and N. Sonti, “Diagnosis of process faults and sensor faults in a class of nonlinear uncertain systems,” J. Syst. Eng. Electron., vol. 22, no. 1, pp. 22–32, 2011. doi: 10.3969/j.issn.1004-4132.2011.01.003
    [34]
    H. Li, Z. Chen, L. Wu, H.-K. Lam, and H. Du, “Event-triggered fault detection of nonlinear networked systems,” IEEE Trans. Cybern., vol. 47, no. 4, pp. 1041–1052, 2017. doi: 10.1109/TCYB.2016.2536750
    [35]
    M. Polycarpou and P. Ioannou, “A robust adaptive nonlinear control design,” Automatica, vol. 32, no. 3, pp. 423–427, 1996. doi: 10.1016/0005-1098(95)00147-6
    [36]
    H. Zhang, F. L. Lewis, and Z. Qu, “Lyapunov, adaptive, and optimal design techniques for cooperative systems on directed communication graphs,” IEEE Trans. Ind. Electron., vol. 59, no. 7, pp. 3026–3041, 2011.

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(1)

    Article Metrics

    Article views (1610) PDF downloads(115) Cited by()

    Highlights

    • Event-induced signal discrepancy for fault accommodation design is explicitly quantified
    • Adaptive approximation based fault accommodation design under event-triggered control effort implementation is proposed, where the time periods before fault occurrence, after fault detection, and within the fault occurrence and detection are all considered
    • Explicit upper bounds on the tracking error are derived for the event-triggered fault accommodation system before and after the detection of system fault
    • Relative and constant event-triggering threshold influence on fault accommodation controller structure design and implementation are investigated

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return