Control of nonlinear processes by using linear model predictive control algorithms

ISA Transactions

Volumn 47, Issue 2, 2008, Pages 211-216

  Gu, Bingfeng ^a   Gupta, Yash P ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Control of nonlinear processes; Model predictive control; pH control

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; LINEAR CONTROL SYSTEMS;

DYNAMIC MATRIX CONTROL ALGORITHM; NONLINEAR PROCESSES;

MODEL PREDICTIVE CONTROL;

EID: 39649125403     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2007.12.002     Document Type: Article

References (14)

1. Bequette W.B. Nonlinear control of chemical processes: A review. Ind Eng Chem Res 30 (1991) 1391-1413
2. Johansen T.A., and Foss B.A. Semiempirical modeling of nonlinear dynamic systems through identification of operating regimes and local models. Model Identification Control 16 (1995) 213-232
3. Foss B.A., Johansen T.A., and Serensen A.V. Nonlinear predictive control using local models-applied to a batch fermentation process. Control Eng Practice 3 (1995) 389-396
4. Narendra K.S., Balakrishnan J., and Ciliz M.K. Adaptation and learning using multiple models, switching, and tuning. IEEE Control Sys 15 (1995) 37-51
5. Sriniwas G.R., and Arkun Y. A global solution to the nonlinear model predictive control algorithms using polynomial ARX models. Comput Chem Eng 21 (1997) 431-439
6. Goh K., Wu F., and Walsh S. Control design for nonlinear process models using linear robust control methods: an FCCU example. Comput Chem Eng 20 (1997) 595-600
7. Henson M.A. Nonlinear model predictive control: Current status and future directions. Comput Chem Eng 23 (1998) 187-202
8. Dharaskar K.P., and Gupta Y.P. Predictive control of nonlinear processes using interpolated models. Trans IChemE, Part A 78 (2000) 573-580
9. Giovanini L., Ordys A., and Grimble M. Adaptive predictive control using multiple models, switching and tuning. Internat J Control Systems 4 6 (2006) 669-681
10. Cutler CR, Ramaker BL. Dynamic matrix control - a computer control algorithm. In: Proceedings of the 1980 American Control Conference, Paper WP5-B
11. Kember G.C., Dubay R., and Mansour S.W. On simplified predictive control as a generalization of least-squares dynamic matrix control. ISA Trans 44 3 (2005) 345-352
12. Gupta Y.P. A simplified predictive control approach for handling constraints through linear programming. Computers in industry (1993) 255-265
13. Gustafsson T. A study of modeling and control of pH in fast acid-base reaction processes based on reaction invariance. Academic dissertation. Abo Akademi, Abo, Finland; 1984
14. Fjeld M., Asbjornsen O.A., and Astrom K.J. Reaction invariants and their importance in the analysis of eigenvectors, state observability and controllability of the continuous stirred tank reactor. Chem Eng Sci 29 (1974) 1917-1926