Fault tolerant control of multivariable processes using auto-tuning PID controller

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 35, Issue 1, 2005, Pages 32-43

  Yu, Ding Li ^a   Chang, T K ^a   Yu, Ding Wen ^b  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b NORTHEASTERN UNIVERSITY AT QINHUANGDAO   (China)

Author keywords

Adaptive NN models; Auto tuning PID; Continuous stirred tank reactor (CSTR); Extended Kalman filter (EKF); Fault tolerant control

Indexed keywords

ALGORITHMS; ASYMPTOTIC STABILITY; COMPUTER SIMULATION; KALMAN FILTERING; LEARNING SYSTEMS; LYAPUNOV METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; THREE TERM CONTROL SYSTEMS;

ADAPTIVE NEURAL NETWORK MODELS; AUTOTUNING PROPORTIONAL INTEGRAL DERIVATIVES; CONTINUOUS STIRRED TANK REACTOR (CSTR); EXTENDED KALMAN FILTER (EKF); FAULT TOLERANT CONTROL;

MULTIVARIABLE CONTROL SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; EQUIPMENT; EVALUATION; FEEDBACK SYSTEM; MULTIVARIATE ANALYSIS; SYSTEMS THEORY; THEORETICAL MODEL; VISCOSITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; EQUIPMENT FAILURE; FEEDBACK; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; SYSTEMS THEORY; VISCOSITY;

EID: 13644265159     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2004.839247     Document Type: Article

References (39)

1. R. J. Patton, P. M. Frank, and R. Clark, Fault Diagnosis in Dynamic Systems: Theory and Application, Englewood Cliffs. NJ: Prentice-Hall, 1989.
2. M. Tyler and M. Morari, "Optimal and robust design of integrated control and diagnostic modules," in Proc. American Control Conf.. 1994.
3. J. Chen, R. J. Patton, and Z. Chen, "Active fault tolerant flight control systems design using the linear matrix inequality method," Trans. Inst. Meas. Control, vol. 21, no. 2/3, pp. 77-84, 1999.
4. Y. Ochi, "Application of feedback linearization method in a digital restructurable flight control system," J. Guid. Control Dyn., vol, 16, no. 1, pp. 111-117, 1993.
5. I. Kaminer, A. M. Pascoal, F. P. Khargonekar. and E. E. Coleman, "A velocity algorithm for the implementation of gain-scheduled controllers," Automatica, vol. 31, no. 8, pp. 1185-1192, 1995.
6. W. D. Morse and K. A. Ossman, "Model-following reconfigurable flight control system for the AFTI/F-16," J. Guid. Control Dyn., vol. 13. no. 6, pp. 969-976, 1990.
7. D. P. Looze, J. L. Weiss, J. S. Eterno, and N. M. Barrett, "An automatic redesign approach for restructurable control systems," IEEE Contr. Syst. Mag., vol. 5, no. 2, pp. 16-22, May 1985.
8. Z. Gao and P. J. Antsaklis, "Stability of the pseudo-inverse method for reconfigurable control systems," Int. J. Control, vol. 53, pp. 717-729, 1991.
9. J. Jiang,"Design of reconfigurable control systems using eigenstructure assignments," Int. J. Control. vol. 59, no. 2, pp. 395-410, 1994.
10. W. K. Son, O. K. Kwon, and M. E. Lee, "Fault-tolerant model-based predictive control with application to boiler systems," in Proc. IFAC Symp. SAFEPROCESS, Hull, U.K.; 1997, pp. 1240-1245.
11. J. M. Maciejowski, "Modeling and predictive control: enabling technologies for reconfiguration," in Proc. IFAC Symp. System Structure Control, Oct. 1997, pp. 253-258. Control
12. H. Wang and Y. Wang, "Neural-network-based fault-tolerant control of unknown nonlinear systems," Inst. Elec. Eng. Proc. Part D: Control Theory Applications, vol. 146, no. 5, pp. 389-398, 1999.
13. S. Lee and R. M. Kil, "A Gaussian potential function network with hierarchically self-organizing learning," Neural Netw., vol. 4, no. 2, pp. 207-224, 1991.
14. J. Platt, "A resource allocating network for function interpolation," Neural Comput., vol. 3, pp. 213-225, 1991.
15. V. Kadirkamanathan and M. Niranjan, "A function estimation approach to sequential learning with neural network," Neural Comput., vol. 5, pp. 954-975, 1993.
16. Y. W. Lu, N. Sundararajan, and P. Saratchandran, "A sequential learning scheme for function approximation using minimal radial basis function neural networks," Neural Comput., vol. 9, no. 2, pp. 461-478, 1997.
17. S. Chen, S. A. Billings, and P. M. Grant, "Recursive hybrid algorithm for nonlinear system identification using radial basis function networks," Int. J. Control, vol. 55, pp. 1051-1070, 1992.
18. S. Fabri and V. Kadirkamanathan, "Dynamic structure neural networks for stable adaptive control of nonlinear systems," IEEE Trans. Neural Netw., vol. 7, no. 5, pp. 1151-1167, Sep. 1996.
19. G. P. Liu, V. Kadirkamanathan, and S. A. Billings, "Variable neural networks for adaptive control of nonlinear systems," IEEE Trans. Syst. Man., Cybern. C, Appl. Rev.. vol. 29, no. 1, pp. 34-43, Feb. 1999.
20. K. J. Åstrom and T. Hagglund, "Automatic tuning of simple regulators with specifications on phase and amplitude margins," Automatica, vol. 20, pp. 645-651/1984.
21. C. C. Hang, K. J. Astrom, and W. K. Ho, "Relay auto-tuning in the presence of static load disturbance."Automatica, vol. 29, no. 2, pp. 563-564, 1993.
22. J. H. Park, S. W. Sung, and I. B. Lee, "Improved relay autortuning with static load disturbance," Automatica, vol. 33, no. 4, pp. 711-715, 1997.
23. W. K. Ho, Y. Hong, A. Hansson, H. Hjalmarsson, and J. W. Deng, "Relay auto-tuning of PID controllers using iterative feedback tuning," Automatica, vol. 39, no. 1, pp. 149-157, 2003.
24. C. C. Hang, K. J. Astrom, and Q. G. Wang, "Relay feedback auto-tuning of process controllers - a tutorial review," J. Process Control, vol. 12, no. 1, pp. 143-162, 2002.
25. W. K. Ho, C. C. Hang, and L. S. Cao, "Tuning of PID controllers based on gain and phase margin specifications," Automatica, vol. 31, no. 3, pp. 497-502, 1995.
26. W.D. Chang, R. C. Hwang, and J. G. Hsieh, "An auto-tuning PID control for a class of nonlinear systems based on Lyapunov approach,"J. Process Control, vol. 12, pp. 233-242, 2002.
27. E. J. Davidson, "Multivariable tuning regulators: the feedforward and robust control of general servomechanism problem," IEEE Trans. Autom. Control, vol. 21, no. 1, pp. 35-47, Feb. 1976.
28. J. Pentinnen and H. N. Koivo, "Multivariable tuning regulators for unknown systems," Automatica, vol. 16, pp. 393-398, 1980.
29. P. Zgorzelski, H. Unbehauen, and A. Niederlinski, "A new simple decentralized adaptive multivariable regulator and its application to multivariable plants," in Proc. 11th IFAC World Congr., Tallin, Estonia, 1990, pp. 226-231.
30. A. P. Loh, C. C. Hang, C. K. Quek, and V. U. Vasnani,"Auto-tuning of multi-loop proportional-integral controllers using relay feedback," Ind. Emg. Chem. Proc. Des. Der.. vol. 25, pp. 654-660, 1993.
31. M. Zhuang and D. P. Atherton, "PID controller design for a TITO system," Inst. Elect. Eng. - Proc. Pt. D: Control Theory Applications, vol. 141, pp. 111-120, 1994.
32. H. N. Koivo and J. T. Tanttu, "Tuning of PID controller-survey of SISO and MIMO," in Proc. Preprints IFAC Int. Symp. Intelligent Tuning Adaptive Control, Singapore, 1991.
33. P. J. Gawthrop, "Self-tuning PID controller: algorithms and implementation," IEEE Trans. Automatic Control, vol. 31, no. 3, pp. 201-209, Mar. 1986.
34. F. Radke and R. Isermann, "A parameter adaptive PID controller with stepwise parameter optimization," Automatica, vol. 23, no. 4, pp. 449-457, 1987.
35. T. H. Lee, C. C. Hang, W. K. Ho, and P. K. Yue, "Implementation of a knowledge-based PID auto-tuner," Automatica, vol. 29, no. 4, pp. 1107-1113, 1993.
36. Y. Nishikawa, N. Sannomya, T. Ohta, and H. Tanaka, "A method for auto-tuning of PID parameters," Automatica, vol. 20, no. 3, pp. 321-332. 1984.
37. A.E.B. Ruano, P. J. Fleming, and D. I. Jones, "Connectionist approach to PID auto-tuning," Instit. Elect. Eng. - Proc. Part D: Control Theory Applications, vol. 139, no. 3, pp. 279-285, 1992.
38. Y. Iiguni, H. Sakaim, and H. Tokumam, "A real-time algorithm for a multi-layered neural network based on the extended Kalman filter," IEEE Trans. Signal Process., vol. 40, no. 4, pp. 959-966, Apr. 1992.
39. L. Ljung and T. Soderstrom, Theory and Practice of Recursive Identification, Cambridge, MA: MIT Press, 1983.