JOURNAL BROWSE
Search
Advanced SearchSearch Tips
An Intelligent Multi-multivariable Dynamic Matrix Control Scheme for a 160 MW Drum-type Boiler-Turbine System
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
An Intelligent Multi-multivariable Dynamic Matrix Control Scheme for a 160 MW Drum-type Boiler-Turbine System
Mazinan, A.H.;
  PDF(new window)
 Abstract
A 160 MW drum-type boiler-turbine system is developed in the present research through a multi-multivariable dynamic matrix control (DMC) scheme and a multi-multivariable model approach. A novel intelligence-based decision mechanism (IBDM) is realized to support both model approach and control scheme. In such case, the responsibility of the proposed IBDM is to identify the best multivariable model of the system and the corresponding multivariable DMC scheme to cope with the system at each instant of time in an appropriate manner.
 Keywords
Drum-type boiler-turbine system;Multi-multivariable DMC scheme;Multi-multivariable model approach;Intelligence-based decision mechanism;
 Language
English
 Cited by
 References
1.
P. Chen, J. S. Shamma, "Gain-scheduled $\ell^{1}$-optimal control for boiler-turbine dynamics with actuator saturation", Journal of Process Control, pp. 263-277, 2004.

2.
U. Moon, K. Y. Lee, "A boiler-turbine system control using a fuzzy auto-regressive moving average (FARMA) model", IEEE Transactions on Energy Conversion, pp. 142-148, 2003.

3.
D. Peng, H. Zhang, P. Yang, "The boiler-turbine coordinated control system based on immune feedback mechanism", International Conference on Machine Learning and Cybernetics, pp. 449-453, 2007.

4.
G. Dieck-Assad, G. Y. Masada, R. H. Flake, "Optimal set-point scheduling in a boiler-turbine system", IEEE Transactions on Energy Conversion, pp. 388- 395, 1987.

5.
R. D. Bell, K. J. Astrom, "Dynamic models for boiler-turbine-alternator units: Data logs and parameter estimation for a 160 MW unit", Lund Inst. Technol., Lund, Sweden, Rep. TFRT- 3192, 1987.

6.
A. H. Mazinan and M. F. Kazemi, "Analysis and Control of a High-Purity Distillation Column System", Transactions of the Institute of Measurement & Control, SAGE Publisher, 2011. crossref(new window)

7.
A. H. Mazinan and M. Sheikhan, "On the Practice of Artificial Intelligence Based Predictive Control Scheme: A Case Study", Applied Intelligence, Springer Publisher, In press, DOI: 10.1007/s10489-010-0253-0, 2011. crossref(new window)

8.
A. H. Mazinan and M. F. Kazemi, "An Efficient Approach to Industrial Multivariable System Modeling and Control", World Applied Sciences Journal, In press, 2011.

9.
A. H. Mazinan and M. F. Kazemi, "Artificial Intelligent Predictive Control Scheme with its Application to a 160 MW Drum-Type Boiler-Turbine System", Engineering Intelligent Systems for Electrical Engineering and Communications, 2010.

10.
A. H. Mazinan and N. Sadati, "On the Application of Fuzzy Predictive Control Based on Multiple Models Strategy to a Tubular Heat Exchanger System", Transactions of the Institute of Measurement & Control, SAGE Publisher, DOI: 10.1177/0142331209345153, 2010, pp. 1-24. crossref(new window)

11.
A. H. Mazinan and A. H. Hosseini, "Application of Intelligence-Based Predictive Scheme to Load- Frequency Control in a Two-Area Interconnected Power System", Applied Intelligence, Springer Publisher, In press, DOI: 10.1007/s10489-010-0236-1, 2010. crossref(new window)

12.
A. H. Mazinan and M. F. Kazemi, "A New Approach to Intelligent Model Based Predictive Control Scheme", Intelligent Information Management, Scientific Research Publisher, DOI: 10.4236/iim.2010.21002, In press, January 2010, pp. 14-20. crossref(new window)

13.
A. H. Mazinan and N. Sadati, "An Intelligent Multiple Models Based Predictive Control Scheme with its Application to Industrial Tubular Heat Exchanger System", Applied Intelligence, Springer Publisher, DOI: 10.1007/s10489-009-0185-8, In press, June 2009. crossref(new window)

14.
A. H. Mazinan and N. Sadati, "Fuzzy Predictive Control Based Multiple Models Strategy to a Tubular Heat Exchanger System", Applied Intelligence, Springer Publisher, DOI: 10.1007/s10489-009-0163-1, In press, February 2009. crossref(new window)

15.
A. H. Mazinan and N. Sadati, "Multiple Modeling and Fuzzy Predictive Control of a Tubular Heat Exchanger System", Transactions on Systems and Control, vol. 3, January 2008, pp. 249-258.