Optimal grade transition for polyethylene reactors based on simultaneous strategies and trust region particle swarm optimization

Industrial and Engineering Chemistry Research

Volumn 52, Issue 9, 2013, Pages 3363-3372

  Xu, Wenxing ^a,c   Geng, Zhiqiang ^a   Zhu, Qunxiong ^a   Gu, Xiangbai ^a,b  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^b SINOPEC   (China)

^c BEIJING INSTITUTE OF PETROCHEMICAL TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC OPTIMIZATION PROBLEM (DOP); HISTORICAL TRANSITION; HYBRID PARTICLE SWARM OPTIMIZATION; MATHEMATICAL OPTIMIZATION MODEL; MULTI-MODAL GLOBAL OPTIMIZATION; OPTIMAL GRADE TRANSITION; POLYETHYLENE REACTORS; SEQUENTIAL QUADRATIC PROGRAMMING;

PARTICLE SWARM OPTIMIZATION (PSO); POLYETHYLENES;

ITERATIVE METHODS;

EID: 84874894644     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie300712e     Document Type: Article

References (24)

1. Debling, J. A; Hun, G. C.; Kuijpers, F.; VerBurg, J.; Zacca, J.; Ray, W. H. Dynamic modeling of product grade transitions for olefin polymerization process AIChE J. 1994, 40 (3) 506-620
2. McAuley, K. B.; MacGregor, J. F. Optimal grade transitions in a gas-phase polyethylene reactor AIChE J. 1992, 38 (10) 1564-1576
3. Takeda, M.; Ray, W. H. Optimal grade transition strategies for multistage polyolefin reactors AIChE J. 1999, 45 (8) 1776-1793
4. Wang, Y.; Seki, H.; Ohyama, S.; Akamatsu, K.; Ogawa, M.; Ohshima, M. Optimal grade transition control for polymerization reactors Comput. Chem. Eng. 2000, 24 (2-7) 1555-1561
5. BenAmor, S.; Doyle, F. J.; McFarlane, R. Polymer grade transition control using advanced real-time optimization software J. Process. Control 2004, 14 (4) 349-364
6. Bonvin, D.; Bodizs, L.; Srinivasan, B. Optimal grade transition for polyethylene reactors via NCO tracking Chem. Eng. Res. Des. 2005, 83 (A6) 692-697
7. Flores-Tlacuahuac, A.; Biegler, L. T.; Saldivar-Guerra, E. Dynamic optimization of HIPS open-loop unstable polymerization reactors Ind. Eng. Chem. Res. 2005, 44 (8) 2659-2674
8. Flores-Tlacuahuac, A.; Biegler, L. T.; Saldivar-Guerra, E. Optimal grade transitions in the HIPS polymerization process Ind. Eng. Chem. Res. 2006, 45 (18) 6175-6189
9. Kameswaran, S.; Biegler, L. T. Simultaneous dynamic optimization strategies: Recent advances and challenges Comput. Chem. Eng. 2006, 30 (10-12) 1560-1575
10. Flores-Tlacuahuac, A.; Biegler, L. T. Simultaneous mixed-integer dynamic optimization for integrated design and control Comput. Chem. Eng. 2007, 31 (5-6) 588-600
11. Flores-Tlacuahuac, A.; Biegler, L. T. Integrated control and process design during optimal polymer grade transition operations Comput. Chem. Eng. 2008, 32 (11) 2823-2837
12. Wang, J. D.; Yang, Y. R. Study on optimal strategy of grade transition in industrial fluidized bed gas phase polyethylene production process Chin. J. Chem. Eng. 2003, 11 (1) 1-8
13. Wang, P.; Wang, J. D.; Yang, Y. R. Optimization of grade transition for high-density polyethylene continuous slurry process J. Chem. Ind. Eng. (China) 2006, 57 (11) 2657-2663
14. Lee, H. Y.; Yang, T. H.; Chien, I. L.; Huang, H. P. Grade transition using dynamic neural networks for an industrial high-pressure ethylene-vinyl acetate (EVA) copolymerization process Comput. Chem. Eng. 2009, 33 (8) 1371-1378
15. Kennedy, J.; Eberhart, R C. Particle swarm optimization. Proc. IEEE Congr. EVol. Comput.; IEEE Press: Piscataway, NJ, 1995; pp 1942-1948.
16. Shi, Y.; Eberhart, R. C. A modified particle swarm optimizer. Proc. IEEE Congr. EVol. Comput.; IEEE Press: Piscataway, NJ, 1998; pp 69-73.
17. Geng, Z. Q.; Zhu, Q. X.; Gu, X. B.; Lin, X. Y. Optimal control of cracking depth based on multi-swarm competitive PSORBFNN for ethylene cracking furnace CIESC J. 2010, 61 (8) 1942-1948
18. Tseng, L. Y.; Chen, C. Multiple trajectory search for large scale global optimization. Proc. IEEE Congr. EVol. Comput.; IEEE Press: Piscataway, NJ, 2008; pp 3052-3059.
19. Zhao, S. Z.; Liang, J. J.; Suganthan, P. N.; Tasgetiren, M. F. Dynamic multi-swarm particle swarm optimizer with local search for large scale global optimization. Proc. IEEE Congr. EVol. Comput.; IEEE Press: Piscataway, NJ, 2008; pp 3845-3852.
20. Hsieh, S. T.; Sun, T. Y.; Liu, C. C.; Tsai, S. J. Solving large scale global optimization using improved particle swarm optimizer. Proc. IEEE Congr. EVol. Comput; IEEE Press: Piscataway, NJ, 2008; pp 1777-1784.
21. Li, J. B.; Liu, X. G. Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm Neurocomputing 2011, 74 (5) 735-740
22. Moré, J. J.; Sorensen, D. C. Computing a trust region step SIAM J. Sci. Stat. Comput. 1983, 3, 553-572
23. Coleman, T. F.; Verma, A. A preconditioned conjugate gradient approach to linear equality constrained minimization Comput. Optim. Appl. 2001, 20 (1) 61-72
24. Xu, W. X.; Geng, Z. Q.; Zhu, Q. X.; Gu, X. B. A piecewise linear chaotic map and sequential quadratic programming based robust hybrid particle swarm optimization Inf. Sci. 2013, 218 (1) 85-102