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An iterative learning observer for fault detection and accommodation in nonlinear time-delay systems. (English) Zbl 1127.93335
Summary: This article addresses fault detection, estimation, and compensation problem in a class of disturbance driven time delay nonlinear systems. The proposed approach relies on an iterative learning observer (ILO) for fault detection, estimation, and compensation. When there are no faults in the system, the ILO supplies accurate disturbance estimation to the control system where the effect of disturbances on estimation error dynamics is attenuated. At the same time, the proposed ILO can detect sudden changes in the nonlinear system due to faults. As a result upon the detection of a fault, the same ILO is used to excite an adaptive control law in order to offset the effect of faults on the system. Further, the proposed ILO-based adaptive fault compensation strategy can handle multiple faults. The overall fault detection and compensation strategy proposed in the paper is finally demonstrated in simulation on an automotive engine example to illustrate the effectiveness of this approach.

MSC:
93C23 Control/observation systems governed by functional-differential equations
93E12 Identification in stochastic control theory
93B07 Observability
93E35 Stochastic learning and adaptive control
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[1] . Fault detection observer design for linear systems with unknown inputs. Proceedings of the 2nd European Control Conference, Groningen, Holland, 1993; 1975-1980.
[2] Chen, International Journal of Control 63 pp 85– (1996)
[3] Hou, International Journal of Control 60 pp 827– (1994)
[4] . Monitoring and diagnostics of a class of nonlinear systems using a nonlinear unknown input observer. Proceedings of IEEE CCA, 1996; 1006-1011.
[5] . A variable structure adaptive observer approach for actuator fault detection and diagnosis in uncertain nonlinear systems. Proceedings of American Control Conference, Chicago, U.S.A., 2000; 2674-2678.
[6] Edwards, Automatica 36 pp 541– (2000)
[7] et al. Application of sliding mode observers to automobile powertrain diagnostics. Proceedings of IEEE International Conference on Control Applications, Dearborn, MI, 15-18 September 1996; 355-360.
[8] Robust fault diagnosis in linear and nonlinear systems based on unknown input and sliding mode functional observer methodologies. Ph.D. Thesis, School of Engineering Science, Simon Fraser University, Canada, 2001.
[9] Ding, Systems and Control Letters 15 pp 313– (1990)
[10] , . Model-based fault detection in diesel hydraulically driven industrial trucks. Proceedings of American Control Conference, Boston, 1991; 1528-1533.
[11] Wang, IEEE Transactions on Automatic Control 41 pp 1073– (1996)
[12] Patton, International Journal of Robust and Nonlinear Control 10 pp 1193– (2000)
[13] , . A stable scheme for automatic control reconfiguration in the presence of actuator failures. Proceedings of American Control Conference, Philadelphia, PA, June 1998; 2455-2459.
[14] , . Adaptive actuator failure compensation for a transport aircraft model. Proceedings of American Control Conference, Arlington, VA, U.S.A., 2001; 1827-1832.
[15] . Fault-diagnosis and fault-compensation. Proceedings of American Control Conference, Chicago, IL, June 2000; 3198-3202.
[16] Noura, International Journal of Systems Science 31 pp 1143– (2000)
[17] Polycarpou, IEEE Transactions on Systems, Man and Cybernetics 25 pp 1447– (1995)
[18] , . Adaptive state feedback control of systems with actuator failures. American Control Conference, Chicago, IL, 2000; 2669-2673.
[19] , . Integrated design of fault diagnosis and accommodation schemes for a class of nonlinear systems. Proceedings of IEEE Conference on Decision and Control, Orlando, U.S.A., 2001; 1448-1453.
[20] Wu, International Journal of Adaptive Control and Signal Processing 14 pp 775– (2000)
[21] Yang, Automatica 34 pp 217– (1998)
[22] . An iterative learning observer-based approach to fault detection and accommodation in nonlinear systems. Proceedings of IEEE Conference on Decision and Control, Orlando, U.S.A., 2001; 4469-4474.
[23] . Robust fault diagnosis in time-delay nonlinear systems via an ILO with application to automotive engine. Proceedings of IFAC 2002, Barcelona, Spain.
[24] Theory of Functional Differential Equations. Springer: New York, 1977. · doi:10.1007/978-1-4612-9892-2
[25] Nonlinear Systems. Prentice-Hall: Upper Saddle River, NJ, 1996.
[26] Robust Control of Nonlinear Uncertain Systems. Wiley: New York, 1998.
[27] Egardt, Journal of Dynamic Systems, Measurement and Control 122 pp 599– (2000)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.