Title | ||
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Air-Fuel-Ratio optimal control of a gas heating furnace based on fuzzy neural networks |
Abstract | ||
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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 Cao | 1 | 1 | 1.42 |
Ding Du | 2 | 0 | 0.34 |
Yunhua Peng | 3 | 0 | 0.34 |
Yuhai Yin | 4 | 2 | 0.74 |