Hot Isostatic Pressing Furnaces: Their Modeling and Predictive Fault-Tolerant Control

IEEE Control Systems

Volumn 20, Issue 6, 2000, Pages 67-82

  Gopinathan, Murali ^a   Mehra, Raman K ^b   Runkle, Joseph C ^c  

^a TRW Automotive   (United States)

^b SCIENTIFIC SYSTEMS COMPANY INC   (United States)

^c UltraClad Corporation   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DISCRETE TIME CONTROL SYSTEMS; FAILURE ANALYSIS; HOT ISOSTATIC PRESSING; INDUSTRIAL FURNACES; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; OPTIMAL CONTROL SYSTEMS; PREDICTIVE CONTROL SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); STATE SPACE METHODS; TEMPERATURE CONTROL;

FAILURE DETECTION AND IDENTIFICATION; MODEL PREDICTIVE CONTROL;

CONTROL SYSTEM SYNTHESIS;

EID: 0034504080     PISSN: 1066033X     EISSN: None     Source Type: Journal    
DOI: 10.1109/37.887450     Document Type: Article

References (18)

1. M. Gopinathan, J.D. Boskovic, R.K. Mehra, and C. Rago. “A multiple model predictive scheme for fault-tolerant flight control design,” in Proc. IEEE Conf. Decision and Control, Tampa, FL, 1998, pp. 1376-1381.
2. J. Richalet, A. Rault, J. L. Testud, and J. Papon, “Algorithmic control of industrial processes,” in Proc. IVth IFAC Symposium on Identification and System Parameter Estimation, Tbilisi, USSR, Sept. 1976.
3. C.R. Cutler and B.C. Ramaker, “Dynamic matrix control-A computer control algorithm,” in Proc. Joint Automatic Control Conf., San Francisco, CA, 1980.
4. R.K. Mehra, R. Rouhani, J. Eterno, J. Richalet, and A. Rault, “Model algorithmic control (MAC): Review and recent developments,” Chemical Process Control 2, in Proc. Engineering Foundation Conf., T. Edgar and D. Seborg, Eds., 1982, p. 287.
5. C.E. Garcia, D. Prett, and M. Morari, “Model predictive control: Theory and practice-A survey,” Automatica, vol. 25, no. 3, pp. 335-348, 1989.
6. J. Richalet, “Industrial applications of model based predictive control,” Automatica, vol. 29, no. 5, pp. 1251-1274, 1993.
7. C.E. Garcia and M. Morari, “Internal model control: A unifying review and some new results,” Ind. Eng. Chem. Process Dev., vol. 21, pp. 308-332, 1982.
8. S.A. Heise and J.M. Maciejowski, “Stable multivariable model based predictive control,” in Proc. 33rd IEEE Conf. Dec. and Control, Orlando, FL, 1994, pp. 3573-3578.
9. J.M. Maciejowski and S.A. Heise, “Heuristic robustness analysis of model-based predictive controllers,” in Proc. 12th IFAC World Congr., 1993.
10. R. Rouhani and R.K. Mehra, “Model algorithmic control: Basic theoretical properties,” Automatica, vol. 18, no. 4, pp. 401-414, 1982.
11. D.W. Clarke, C. Mohtadi, and P.S. Tuffs, “Generalized predictive control-Part I: The basic algorithm,” Automatica, vol. 23, no. 2, pp. 137-148, 1987.
12. D.W. Clarke, C. Mohtadi, and P.S. Tuffs, “Generalized predictive control-Part II: Extensions and interpretations,” Automatica, vol. 23, no. 2, pp. 149-160, 1987.
13. R. Vancheeswaran, D.G. Meyer, and H.N.G. Wadley, “Optimizing the consolidation of titanium matrix composites,” Acta Metallurgica, vol. 45, no. 10, pp. 4001-4018, 1997.
14. L. Ljung, System Identification: Theory for the User. Englewood Cliffs, NJ: Prentice-Hall, 1987.
15. G. Gattu and E. Zafiriou, “Nonlinear quadratic dynamic matrix control with state estimation,” Ind. Eng. Chem. Res., vol. 31, no. 4, pp. 1096-1104, 1992.
16. N.L. Ricker, “Model predictive control with state estimation,” Ind. Eng. Chem. Res., vol. 29, pp. 374-382, 1990.
17. J.H. Lee, M. Morari, and C.E. Garcia. “State space interpretation of model predictive control,” Automatica, vol. 30, no. 4, pp. 707-717, 1994.
18. PFC CAD Software User's Guide, ADERSA, France.