Artificial intelligence control of boiler's combustion system

Yan Gao*, Zhi Hao Gong, Hong Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A new apporach in improving traditional methods of control is presented. The paper tries to collect relevant expert knowledge and experiences of operators, and puts forward an intelligent control scheme. To compensate for the disadvantages in traditional control methods in their inability to adapt to the wide fluctuations in boiler load, it comes up with a rule-based expert control method. To obviate difficulties in finding an optimum control, it presents a simple but practical method of steady wind-to-coal balance based on experiences. The method has been applied in actual cases, showing that it is practical. It increased the efficiency of combustion, comparing better than traditional control methods.

Original languageEnglish
Pages (from-to)315-317
Number of pages3
JournalHe Jishu/Nuclear Techniques
Volume22
Issue number3
Publication statusPublished - 1999

Keywords

  • Artificial intelligent
  • Intelligent control
  • Self-searching optimum control

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