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A Reduced Order Transfer Function Models for Alstom Gasifier using Genetic Algorithm

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 46 - Number 5
Year of Publication: 2012
Authors:
Anitha Mary. X
L. Sivakumar
10.5120/6906-9300

Anitha Mary.x and L.sivakumar. Article: A Reduced Order Transfer Function Models for Alstom Gasifier using Genetic Algorithm. International Journal of Computer Applications 46(5):31-38, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Anitha Mary.x and L.sivakumar},
	title = {Article: A Reduced Order Transfer Function Models for Alstom Gasifier using Genetic Algorithm},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {46},
	number = {5},
	pages = {31-38},
	month = {May},
	note = {Full text available}
}

Abstract

ALSTOM has thrown a challenge problem related to the control of MIMO gasifier which is a nonlinear system. Quite a few researchers have tried different methods for control tuning and found that critical process transients such as pressure and temperature of syngas during specified load changes are not within the desired limits. This is mainly attributed to a very high order of the gasifier system. Due to this, efforts have been made to represent gasifier higher order models as a simplified lower order models. This paper focuses on identifying a reduced order transfer function models for gasifier with minimum IAE and ISE error criterion using Genetic Algorithm. The lower order transfer functions obtained using Genetic Algorithm is found to be superior to those obtained using RGA loop pairing and Algebraic method proposed respectively by Haryanto and Sivakumar et. al.

References

  • Pike A. W. , Donne M. S and Dixon. R, Dynamic modeling and simulation of the air blown gasification cycle prototype integrated plant in proceedings of the international conference on simulation, IEE publication 457,York university 1998 pp 354-361.
  • Dixon. R Advanced gasifier control, computing and control engineering journal IEE vol 10 N0 3 pp 93-96, 1999.
  • Rice M,Rosster. J and schurmans J An advanced predictive control approach to the Alstom gasifier prolem, proc, Inst. Mech Eng. I,J. System control Eng. , 2000,214 pp. 405-413.
  • I. A. Griffin, P. Schroder, AJ Chipperfield and PJ Fleming multiobjective optimization approach proc, Inst. Mech Eng. I,J. System control Eng. , 2000,214 pp. 453-468.
  • CJ Taylor, AP Mccabe,PC young and A chotai Proportional integral plus control of Alstom Gasifier problem proc, Inst. Mech Eng. I,J. System control Eng. , 2000,214 pp. 469-480.
  • GP Liu, RDixon S Daley, multiobjective optimal tuning proportional integral controller design for the Alstom Gasifier problem proc, Inst. Mech Eng. I,J. System control Eng. , 2000,214 pp. 395-404.
  • E. Prempain, I. Postlethwaite and XD sun Robust control of the gasifier using a mixed H? approach proc, Inst. Mech Eng. I,J. System control Eng. , 2000,214 pp. 415-426.
  • BN Asmar, WE Jones and Ja Wilson, A process engineering approach to the alsotm gasifier problem proc, Inst. Mech Eng. I,J. System control Eng. , 2000,214 pp. 441-452.
  • N Munro, JM Edmunds, E. Kontogianees and St Impram A sequential loop closing approach to the Alstom gasifier problem proc, Inst. Mech Eng. I,J. System control Eng. , 2000,214 pp. 427-439.
  • Dixon R Alstom Benchmark challenge II: control of Nonlinear Gasifier model, 2002. http://www. iee. org/omcomms/PN/controlauto/Specification_v2. pdf
  • Dixon R, Becnhmark challenge at control, 2004, Comput. Control Eng IEE vol 10 No3 pp 21-23 2005.
  • R. K. Seyab, Y. Cao and S. H Yang, The second alstom benchmark challenge on gasifier control predictive control for the ALSTOM gasifier problemIEE proceedings on control theory, vol153, N03 May 2006.
  • Xi9n Wang, Ke Wu, Jianhong Lu, Wenguo Xiang, Non linear identification of Alstom gasifier based on wiener model International conference on sustainable power generation and supply pg 1-7 april 2009.
  • A. Haryanto, P. siregar, D. Kurniadi and Keum-shik Hong, Development of Integrated Alstom gasification Simulator for implementation using DCSCS 3000 proceedings of the 17th world congress The international conference federation of automatic control, seoul, korea 2009.
  • L. Sivakumar, Anitha Mary. X A low order transfer function model for MIMO ALSTOM gasifier, International conference on process Automation, Control and computing, IEEE 2011.
  • L. Sivakumar, R. Koteeswarn, Linear Identification of Nonlinear MIMO system-Alstom Gasifier First international conference on modern trends in instrumentation and control, 2nd and 3rd September 2011.
  • P. Poongodi, S. Victor Genetic algorithm based PID controller design forLTI system via reduced order model, International Conference on Instrumentation, Control & Automation ICA2009 October 20-22, 2009, Bandung, Indonesia.
  • S. N. Sivanandam, S. N. Deepa, A Comparative Study Using Genetic Algorithm and Particle Swarm Optimization for Lower Order System Modelling International Journal of the Computer, the Internet and Management Vol. 17. No. 3 pp 1 -10, (September - December, 2009)
  • Melanie Mitchell, An introduction to Genetic Algorithm, Prentice-Hall of India NewDelhi, Edition: 2004.