Design of image-based control loops for industrial combustion processes
Junghui Chen,
Yu-Hsiang Chang,
Yi-Cheng Cheng and
Chen-Kai Hsu
Applied Energy, 2012, vol. 94, issue C, 13-21
Abstract:
Combustion is often used in the industry to produce required energy. Due to the increasing need of minimizing energy loss or pollution of combustors, keeping good performance of combustion control is highly desired. To achieve tight combustion control is not straightforward, because most of the flames encountered are turbulent flames. A novel method is proposed in this study to improve the control performance of product quality by applying the digital flame color images to control loops. It will lead to a substantial reduction in oxygen quality variability. With the minimal oxygen quality variability, the requirement of the excess combustion air in a furnace is minimized and it will have less loss of heat. Based on the novel structure, the designable performance bound and the corresponding optimal parameters of the controller structure computed from the closed loop operating data are proposed. The performance bound can assess the performance of the current given controller. To demonstrate the advantages of the proposed method, data from a real combustion system are presented to delve into the matter.
Keywords: Combustor; Control design; Image analysis; Performance assessment (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261911008865
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:94:y:2012:i:c:p:13-21
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2011.12.080
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().