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Automatic Control and Computer Sciences
Erschienen in: Automatic Control and Computer Sciences 6/2020

01.11.2020

Fault Estimation Based on an Adaptive Observer for a Class of Uncertain Nonlinear Descriptor Systems

verfasst von: Maryam Mohseni, Amin Ramezani, Mehdi Siahi

Erschienen in: Automatic Control and Computer Sciences | Ausgabe 6/2020

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Abstract

First, an \({{H}_{\infty }}\) adaptive observer is designed for a class of uncertain nonlinear descriptor systems. This observer can simultaneously estimate the actuator faults, sensor faults, and system states in the presence of uncertainty and output disturbance. Various types of faults, such as abrupt faults and incipient faults, can be estimated using the observer. Then, the observer is designed without requiring some conditions to be satisfied. The observer stability is analyzed using the Lyapunov stability theory. Then, the sufficient conditions for the existence of the observer are converted into linear matrix inequalities (LMIs). The proposed method does not need the Lipschitz constant in the LMI formulation. Therefore, the proposed method can be applied to systems with unknown or large Lipschitz constants. Additionally, unlike the conventional adaptive estimator, the proposed estimator has both proportional and integral components to enhance the accuracy and rapidity of the estimation. Two simulation examples are provided to illustrate the effectiveness of the proposed method for descriptor systems and normal state-space systems.
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Literatur
1.
Shahnazari, H. and Mhaskar, P., Actuator and sensor fault detection and isolation for nonlinear systems subject to uncertainty, Int. J. Robust Nonlinear Control, 2018, vol. 28, no. 6, pp. 1996–2013.MathSciNetCrossRef
2.
Zhou, M., Wang, Z., and Shen, Y., Fault detection and isolation method based on H −/H ∞ unknown input observer design in finite frequency domain, Asian J. Control, 2017, vol. 19, no. 5, pp. 1777–1790.MathSciNetMATH
3.
Volkanov, D.Y., Method for choosing a balanced set of fault-tolerance techniques for distributed computer systems, Autom. Control Comput. Sci., 2017, vol. 51, no. 7, pp. 539–550.CrossRef
4.
Nazari, S., Shafai, B., and Moradmand, A., Robust intrusion detection in dynamic networks, IEEE Conference on Control Technology and Applications (CCTA), 2019, pp. 988–993.
5.
Ermakov, A.D. and Yevtushenko, N.V., Deriving test suites with the guaranteed fault coverage for extended finite state machines, Autom. Control Comput. Sci., 2017, vol. 51, no. 7, pp. 516–522.CrossRef
6.
Nechval, N.A., Berzins, G., and Nechval, K.N., Intelligent constructing exact statistical prediction and tolerance limits on future random quantities for prognostics and health management of complex systems, Autom. Control Comput. Sci., 2019, vol. 53, no. 6, pp. 532–549.CrossRef
7.
Moradmand, A., Ramezani, A., Nezhad, H.S., and Sardashti, A., Fault tolerant Kalman filter-based distributed predictive control in power systems under governor malfunction, 6th International Conference on Control and Automation, 2019, pp. 1–6.
8.
Gao, X., Liu, X., and Han, J., Reduced order unknown input observer based distributed fault detection for multi-agent systems, J. Franklin Inst., 2017, vol. 354, no. 3, pp. 1464–1483.MathSciNetCrossRef
9.
Han, H., Yang, Y., Li, L., and Ding, S.X., Observer-based fault detection for uncertain nonlinear systems, J. Franklin Inst., 2018, vol. 355, no. 3, pp. 1278–1295.MathSciNetCrossRef
10.
Nanditha, N. and Santhosh, K.V., Sensor fault isolation in a liquid flow process using Kalman filter, Autom. Control Comput. Sci., 2019, vol. 53, no. 4, pp. 310–319.CrossRef
11.
Shafai, B., Moradmand, A., and Nazari, S., Observer-based controller design for systems with derivative inputs, 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019, pp. 1038–1044.
12.
Duan, G.R., Analysis and Design of Descriptor Linear Systems, Berlin: Springer Science & Business Media, 2010.CrossRef
13.
Shafai, B., Nazari, S., and Moradmand, A., A direct algebraic approach to design state feedback and observers for singular systems, observer-based controller design for systems with derivative inputs, IEEE Conference on Control Technology and Applications (CCTA), 2019, pp. 835–842.
14.
Han, W., Wang, Z., Shen, Y., and Liu, Y., H −⁄L ∞ fault detection for linear discrete-time descriptor systems, IET Control Theory Appl., 2018, vol. 12, no. 15, pp. 2156–2163.MathSciNetCrossRef
15.
Wang, Z., Shi, P., and Lim, C.C., H −⁄H ∞ fault detection observer in finite frequency domain for linear parameter-varying descriptor systems, Automatica, 2017, vol. 86, pp. 38–45.MathSciNetCrossRef
16.
Jia, Q., Chen, W., Wang, P., and Zhang, Y., Design of a PD-type learning observer for reconstruction of actuator faults in descriptor systems, IET Control Theory Appl., 2017, vol. 11, no. 1, pp. 17–24.MathSciNetCrossRef
17.
Oucief, N., Tadjine, M., and Labiod, S., Adaptive observer-based fault estimation for a class of Lipschitz nonlinear systems, Arch. Control Sci., 2016, vol. 26, no. 2, pp. 245–259.MathSciNetCrossRef
18.
Oucief, N., Tadjine, M., and Labiod, S., A new methodology for an adaptive state observer design for a class of nonlinear systems with unknown parameters in unmeasured state dynamics, Trans. Inst. Meas. Control, 2018, vol. 40, no. 4, pp. 1297–1308.CrossRef
19.
Wang, Z., Shen, Y., and Zhang, X., Actuator fault estimation for a class of nonlinear descriptor systems, Int. J. Syst. Sci., 2014, vol. 45, no. 3, pp. 487–496.MathSciNetCrossRef
20.
Liu, M., Zhang, L., Shi, P., and Zhao, Y., Fault estimation sliding-mode observer with digital communication constraints, IEEE Trans. Autom. Control, 2018, vol. 63, no. 10, pp. 3434–3441.MathSciNetCrossRef
21.
Wang, Y., Puig, V., and Cembrano, G., Robust fault estimation based on zonotopic Kalman filter for discrete-time descriptor systems, Int. J. Robust Nonlinear Control, 2018, vol. 28, no. 16, pp. 5071–5086.MathSciNetCrossRef
22.
Zemzemi, A., Kamel, M., Toumi, A., and Farza, M., Robust integral-observer-based fault estimation for Lipschitz nonlinear systems with time-varying uncertainties, Trans. Inst. Meas. Control, 2019, vol. 41, no. 7, pp. 1965–1974.CrossRef
23.
Moradmand, A., Dorostian, M., Shafai, B., Energy scheduling for residential distributed energy resources with uncertainties using model-based predictive control, 2020. arXiv:2007.11182.
24.
Zhang, J., Swain, A.K., and Nguang, S.K., Robust H∞ adaptive descriptor observer design for fault estimation of uncertain nonlinear systems, J. Franklin Inst., 2014, vol. 351, no. 11, pp. 5162–5181.CrossRef
25.
Chan, J.C.L., Tan, C.P., and Trinh, H., Robust fault reconstruction for a class of infinitely unobservable descriptor systems, Int. J. Syst. Sci., 2017, vol. 48, no. 8, pp. 1646–1655.MathSciNetCrossRef
26.
Han, Z., Zhang, K., and Liu, H., Actuator fault reconstruction based on a robust adaptive observer, IET Control Theory Appl., 2018, vol. 12, no. 15, pp. 2076–2087.MathSciNetCrossRef
27.
Bessaoudi, T., Ben Hmida, F., and Hsieh, C.S., Robust state and fault estimation for linear descriptor stochastic systems with disturbances: A DC motor application, IET Control Theory Appl., 2017, vol. 11, no. 5, pp. 601–610.MathSciNetCrossRef
28.
Lan, J. and Patton, R.J., Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems, Int. J. Robust Nonlinear Control, 2017, vol. 27, no. 5, pp. 761–780.MathSciNetCrossRef
29.
Chen, F., Zhang, K., Jiang, B., and Wen, C., Adaptive sliding mode observer-based robust fault reconstruction for a helicopter with actuator fault, Asian J. Control, 2016, vol. 18, no. 4, pp. 1558–1565.MathSciNetCrossRef
30.
Zhang, K., Jiang, B., and Shi, P., Fast fault estimation and accommodation for dynamical systems, IET Control Theory Appl., 2009, vol. 3, no. 2, pp. 189–199.MathSciNetCrossRef
31.
Sjöberg, J. and Glad, T., Computing the controllability function for nonlinear descriptor systems, Proc. Am. Control Conf., Minneapolis, 2006, pp. 1021–1026.
32.
Sjöberg, J., Some results on optimal control for nonlinear descriptor systems, Doctoral Dissertation, Linköping: Institutionen för Systemteknik, Linköpings Universitet, 2006.
33.
Estrada, F.R.L., Model-based fault diagnosis observer design for descriptor LPV system with unmeasurable gain scheduling, Doctoral Dissertation, Université de Lorraine, 2014.
34.
Lee, D.J., Park, Y., and Park, Y.S., Robust H∞ sliding mode descriptor observer for fault and output disturbance estimation of uncertain systems, IEEE Trans. Autom. Control, 2012, vol. 57, no. 11, pp. 2928–2934.MathSciNetCrossRef
35.
Gao, C., Zhao, Q., and Duan, G., Robust actuator fault diagnosis scheme for satellite attitude control systems, J. Franklin Inst., 2013, vol. 350, no. 9, pp. 2560–2580.MathSciNetCrossRef
36.
Zhang, J., Swain, A.K., and Nguang, S.K., Robust sensor fault estimation scheme for satellite attitude control systems, J. Franklin Inst., 2013, vol. 350, no. 9, pp. 2581–2604.MathSciNetCrossRef
37.
Zhang, J., Swain, A.K., and Nguang, S.K., Robust sensor fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems, Proc. Am. Control Conf., Portland, OR, 2014, pp. 5515–5520.
Metadaten
Titel
Fault Estimation Based on an Adaptive Observer for a Class of Uncertain Nonlinear Descriptor Systems
verfasst von
Maryam Mohseni
Amin Ramezani
Mehdi Siahi
Publikationsdatum
01.11.2020
Verlag
Pleiades Publishing
Erschienen in
Automatic Control and Computer Sciences / Ausgabe 6/2020
Print ISSN: 0146-4116
Elektronische ISSN: 1558-108X
DOI
https://doi.org/10.3103/S014641162006005X

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