Real-time implementation of fault-tolerant control systems with performance optimization

IEEE Transactions on Industrial Electronics

Volumn 61, Issue 5, 2014, Pages 2402-2411

  Yin, Shen ^a,b   Luo, Hao ^c   Ding, Steven X ^c  

^a BOHAI UNIVERSITY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

^c UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

Adaptive system; fault tolerant control (FTC); optimization; signal processing

Indexed keywords

ADAPTIVE SYSTEMS; ITERATIVE METHODS; ONLINE SYSTEMS; OPTIMIZATION; PARAMETERIZATION; REAL TIME CONTROL; SIGNAL PROCESSING;

ADAPTIVE RESIDUAL GENERATORS; FAULT TOLERANT CONTROL; FAULT TOLERANT CONTROL SYSTEMS; FAULT-TOLERANT ARCHITECTURES; PERFORMANCE ENHANCEMENTS; PERFORMANCE OPTIMIZATIONS; REAL-TIME IMPLEMENTATIONS; STABILIZATION CONTROLLERS;

BENCHMARKING;

EID: 84885571740     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2013.2273477     Document Type: Article

References (37)

1. S.-L. Jaemsae-Jounela, "Future trends in process automation," Annu. Rev. Control, vol. 31, no. 2, pp. 211-220, 2007.
2. J. J. Gertler, Fault Detection and Diagnosis in Engineering Systems. New York, NY, USA: Marcel Dekker, 1998.
3. R. J. Patton, P. M. Frank, and R. N. Clark, Eds., Issues of Fault Diagnosis for Dynamic Systems. New York, NY, USA: Springer-Verlag, 2000.
4. M. Blanke, M. Kinnaert, J. Lunze, and M. Staroswiecki, Diagnosis and Fault-Tolerant Control. New York, NY, USA: Springer-Verlag, 2003.
5. R. Isermann, Fault Diagnosis Systems. New York, NY, USA: Springer-Verlag, 2006.
6. J. Stoustrup, M. Grimble, and H. Niemann, "Design of integrated systems for the control and detection of actuator/sensor faults," Sensor Rev., vol. 17, no. 2, pp. 138-149, 1997. (Pubitemid 127653960)
7. G. G. Yen and L. Ho, "Online multiple-model-based fault diagnosis and accommodation," IEEE Trans. Ind. Electron., vol. 50, no. 2, pp. 296-312, Apr. 2003.
8. S. X. Ding, "Integrated design of feedback controllers and fault detectors," Ann. Rev. Control, vol. 33, no. 2, pp. 124-135, Dec. 2009.
9. K. Rothenhagen and F.W. Fuchs, "Doubly fed induction generator modelbased sensor fault detection and control loop reconfigurat," IEEE Trans. Ind. Electron., vol. 56, no. 10, pp. 4229-4238, Oct. 2009.
10. R. Muradore and P. Fiorini, "A PLS-based statistical approach for fault detection and isolation of robotic manipulators," IEEE Trans. Ind. Electron., vol. 59, no. 8, pp. 3167-3175, Aug. 2012.
11. H. Dong, Z. Dong, and H. Gao, "Fault detection for Markovian jump systems with sensor saturations and randomly varying nonlinearities," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 59, no. 10, pp. 2354-2362, Oct. 2012.
12. S. A. Arogeti, D. Wang, C. B. Low, and M. Yu, "Fault detection isolation and estimation in a vehicle steering system," IEEE Trans. Ind. Electron., vol. 59, no. 12, pp. 4810-4820, Dec. 2012.
13. Y. Fujimoto and T. Sekiguchi, "Fault-tolerant configuration of distributed discrete controllers," IEEE Trans. Ind. Electron., vol. 50, no. 1, pp. 86-93, Feb. 2003.
14. A. M. S. Mendes and A. J. M. Cardoso, "Fault-tolerant operating strategies applied to three-phase induction-motor drives," IEEE Trans. Ind. Electron., vol. 53, no. 6, pp. 1807-1817, Dec. 2006. (Pubitemid 46432473)
15. A. Akrad, M. Hilairet, and D. Diallo, "Design of a fault-tolerant controller based on observers for a PMSM drive," IEEE Trans. Ind. Electron., vol. 58, no. 4, pp. 1416-1427, Apr. 2011.
16. K. Nguyen-Duy, T. Liu, D. Chen, and J. Y. Hung, "Improvement of matrix converter drive reliability by online fault detection and a fault-tolerant switching strategy," IEEE Trans. Ind. Electron., vol. 59, no. 1, pp. 244-256, Jan. 2012.
17. J. W. Bennett, G. J. Atkinson, B. C. Mecrow, and D. J. Atkinson, "Faulttolerant design considerations and control strategies for aerospace drives," IEEE Trans. Ind. Electron., vol. 59, no. 5, pp. 2049-2058, May 2012.
18. S. Huang, K. K. Tan, and T. H. Lee, "Fault diagnosis and fault-tolerant control in linear drives using the Kalman filter," IEEE Trans. Ind. Electron., vol. 59, no. 11, pp. 4285-4292, Nov. 2012.
19. K. Zhou and Z. Ren, "A new controller architecture for high performance, robust, and fault-tolerant control," IEEE Trans. Autom. Control, vol. 46, no. 10, pp. 1613-1618, Oct. 2001. (Pubitemid 33018230)
20. S. X. Ding, G. Yang, P. Zhang, E. L. Ding, T. Jeinsch, N. Weinhold, and M. Schultalbers, "Feedback control structures, embedded residual signals, and feedback control schemes with an integrated residual access," IEEE Trans. Control Syst. Technol., vol. 18, no. 2, pp. 352-367, Mar. 2010.
21. S. X. Ding, Y. Wang, P. Zhang, Y. Yang, and E. L. Ding, "Data-driven design of fault-tolerant control systems," in Proc. IFAC Symp. Safeprocess, 2012, pp. 1323-1328.
22. K. Zhou, J. C. Doyle, and K. Glover, Robust and Optimal Control. Englewood Cliffs, NJ, USA: Prentice-Hall, 1996.
23. W. Favoreel, B. De Moor, and P. Van Overschee, "Subspace state space system identification for industrial processes," J. Process Control, vol. 10, no. 2/3, pp. 149-155, Apr. 2000. (Pubitemid 30556712)
24. S. J. Qin, "An overview of subspace identification," Comput. Chemical Eng., vol. 30, no. 10-12, pp. 1502-1513, Sep. 2006. (Pubitemid 44292280)
25. P. Van Overschee and B. De Moor, Subspace Identification for Linear Systems. Dordrecht, The Netherlands: Kluwer, 1996.
26. P. Zhang and S. X. Ding, "On fault detection in linear discrete-time, periodic, and sampled-data systems (survey)," J. Control Sci. Eng., vol. 2008, pp. 1-19, 2008.
27. V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S. N. Kavuri, "A review of process fault detection and diagnosis. Part I: Quantitative modelbased methods," Comput. Chemical Eng., vol. 27, no. 3, pp. 293-311, Mar. 2003. (Pubitemid 36285962)
28. S. X. Ding, P. Zhang, A. Naik, E. L. Ding, and B. Huang, "Subspace method aided data-driven design of fault detection and isolation systems," J. Process Control, vol. 19, no. 9, pp. 1496-1510, Oct. 2009.
29. B. A. Francis, A Course in H-Infinity Control Theory. Berlin, Germany: Springer-Verlag, 1987.
30. S. X. Ding, Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools. Berlin, Germany: Springer-Verlag, 2008.
31. S. X. Ding, S. Yin, P. Zhang, E. L. Ding, and A. Naik, "An approach to data-driven adaptive residual generator design and implementation," in Proc. IFAC Symp. Safeprocess, 2009, pp. 941-946.
32. J. S. Arora, Introduction to Optimum Design, 2nd ed. Amsterdam, The Netherlands: Elsevier, 2004.
33. I. M. Y. Mareels and J. W. Polderman, Adaptive Control Systems: An Introduction. Basel, Germany: Birkhäuser Verlag, 1996.
34. J. Downs and E. Fogel, "A plant-wide industrial process control problem," Comput. Chemical Eng., vol. 17, no. 3, pp. 245-255, Mar. 1993.
35. L. H. Chiang, E. L. Russell, and R. D. Braatz, "Fault diagnosis in chemical processes using fisher discriminant analysis, discriminant partial least squares, and principal component analysis," Chemometrics Intell. Lab. Syst., vol. 50, no. 2, pp. 243-252, Mar. 2000. (Pubitemid 30136027)
36. N. L. Ricker, "Decentralized control of the Tennessee Eastman challenge process," J. Process Control, vol. 6, no. 4, pp. 205-221, Aug. 1996. (Pubitemid 126358692)
37. S. Yin, S. X. Ding, A. Haghani, H. Hao, and P. Zhang, "A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process," J. Process Control, vol. 22, no. 9, pp. 1567-1581, Oct. 2012.