Title
Air-Fuel-Ratio optimal control of a gas heating furnace based on fuzzy neural networks
Abstract
Based on Neural Network BP algorithm and self-optimizing control, taking gas heating furnace air-fuel-ratio optimized control as goal, a new heating furnace intelligent control algorithm is raised and applied in the practice. Comparing fuzzy neural network hybrid algorithm and PID control algorithm, with gas heating furnace energy-saving control reconstruct, new algorithm can achieve function of automatic tracking calorific value variable and adjusting air-fuel-ratio. The characteristics of this algorithm are high precision and reliability, and suitable for project application.
Year
DOI
Venue
2006
10.1007/11760191_128
ISNN (2)
Keywords
Field
DocType
hybrid algorithm,intelligent control algorithm,fuzzy neural network,neural network bp algorithm,gas heating furnace air-fuel-ratio,gas heating furnace,new heating furnace,air-fuel-ratio optimal control,new algorithm,self-optimizing control,pid control algorithm,optimized control,optimal control,intelligent control,pid control,neural network
Intelligent control,Hybrid algorithm,Optimal control,Computer science,Control theory,Backpropagation,Artificial neural network,Membership function,Feed forward,Fuzzy rule
Conference
Volume
ISSN
ISBN
3973
0302-9743
3-540-34482-9
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Heng Cao111.42
Ding Du200.34
Yunhua Peng300.34
Yuhai Yin420.74