Modeling and Fuzzy Control Research of Power Plant Boiler Combustion System

Lin Lin Cui; Hua Lai; Xiao Gang Li; Ming Jie Qi

doi:10.4028/www.scientific.net/AMM.303-306.1242

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Modeling and Fuzzy Control Research of Power Plant...

Modeling and Fuzzy Control Research of Power Plant Boiler Combustion System

Abstract:

According to the multivariable coupling, large delay, nonlinear, time-varying and other difficulties of a thermal power plant boiler combustion system, a kind of technology based on fuzzy control of a thermal power plant boiler combustion system was presented. Fuzzy control technology was used to research and determine fuzzy control rule tables. Multivariable static and dynamic models were given to boiler combustion system. Results of simulation show that boiler combustion system control precision was effectively improved and good effects in production and application were got.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

1242-1246

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.1242

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Online since:

February 2013

Authors:

Lin Lin Cui, Hua Lai, Xiao Gang Li, Ming Jie Qi

Keywords:

Boiler, Combustion System, Fuzzy Control, Model, Simulation

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References

[1] Yucai Zhu. Process control of multivariable system identification, Hunan: National defense science and technology university press, 2005. 8.

Google Scholar

[2] Weigong Zhong. Research of sugar mill boiler combustion fuzzy control system, Master's degree thesis, Kunming university of science and technology, (2007).

Google Scholar

[3] Yiqian Hu, Jianhong Lv, Tiejun Zhang. Application and the research prospects of fuzzy control in boiler thermal control profile, Industrial control computer, 2002, 21 (4): - 27.

Google Scholar

[4] Jia Wang, ChaoYing Liu, XueLing Song, ZheYing 2011 Song. A realization method for fuzzy decoupling control of the Circulating Fluidized Bed Boiler. Machine Learning and Cybernetics (ICMLC), International Conference 166-171.

DOI: 10.1109/icmlc.2011.6016739

Google Scholar

[5] Yazhe Meng, Hua Lai and Guolin Che 2011 Modeling and Simulation of the Circulating Fluidized Boilers' Combustion Systems Based on Partial Least Squares .J. Journal of Kunming University of Science and technology 36 52–55.

Google Scholar

[6] Peifeng Niu, Liqin Zhou, Guosheng Li 2004 A Steam temperature Adaptive Series-Step Control System for Boiler of Giant Domestic Manufacture.J. Power Engineering 24 204-207.

Google Scholar

[7] Kresselmeier G and Anderson: Robust B 1986 model reference adaptive control.J. IEEE Trans. Aut. Control. AC-31 127–133.

Google Scholar

[8] ShiliangXu. Commonly used algorithm routine set (Third edition), tsinghua university press, (2004).

Google Scholar