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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2012 - 5

 HIGH-IMPACT PAPER 

Control of the Bed Temperature of a Circulating Fluidized Bed Boiler by using Particle Swarm Optimization

AYGUN, H. See more information about AYGUN, H. on SCOPUS See more information about AYGUN, H. on IEEExplore See more information about AYGUN, H. on Web of Science, DEMIREL, H. See more information about  DEMIREL, H. on SCOPUS See more information about  DEMIREL, H. on SCOPUS See more information about DEMIREL, H. on Web of Science, CERNAT, M. See more information about CERNAT, M. on SCOPUS See more information about CERNAT, M. on SCOPUS See more information about CERNAT, M. on Web of Science
 
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Download PDF pdficon (1,008 KB) | Citation | Downloads: 1,468 | Views: 2,656

Author keywords
particle swarm optimization, bed temperature, fuzzy logic, boiler

References keywords
swarm(25), optimization(21), control(20), controller(13), systems(11), fuzzy(9), evolutionary(7), computation(7), system(6), fluidized(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 27 - 32
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02005
Web of Science Accession Number: 000305608000005
SCOPUS ID: 84865280645

Abstract
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Full text preview
Circulating fluidized bed boilers are increasingly used in the power generation due to their higher combustion efficiency and lower pollutant emissions. Such boilers require an effective control of the bed temperature, because it influences the boiler combustion efficiency and the rate of harmful emissions. A Particle-Swarm-Optimization-Proportional-Integrative-Derivative (PSO-PID) controller for the bed temperature of a circulating fluidized bed boiler is presented. In order to prove the capability of the proposed controller, its performances are compared at different boiler loads with those of a Fuzzy Logic (FL) controller. The simulation results demonstrate some advantages of the proposed controller.


References | Cited By  «-- Click to see who has cited this paper

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[17] Z. Dong Ze, Sun Jian, Wang Zijie, Sun Ming, PID-NN decoupling control of CFB boiler combustion system based on PSO method, Proceedings of the 9. International Conference on Sustainable Power Generation and Supply, SUPERGEN '09, 2009, pp. 1 - 6
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References Weight

Web of Science® Citations for all references: 46,457 TCR
SCOPUS® Citations for all references: 21,850 TCR

Web of Science® Average Citations per reference: 1,080 ACR
SCOPUS® Average Citations per reference: 508 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-28 23:27 in 196 seconds.




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