文献类型：会议论文

英文题名：Air-fuel-ratio optimal control of a gas heating furnace based on fuzzy neural networks

作者：Cao, Heng; Du, Ding; Peng, Yunhua; Yin, Yuhai

机构：[1]E China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai, Peoples R China;[2]Shanghai Baosteel Chem Co Ltd, Shanghai, Peoples R China

会议论文集：3rd International Symposium on Neural Networks (ISNN 2006)

会议日期：MAY 28-31, 2006

会议地点：Chengdu, PEOPLES R CHINA

语种：英文

摘要：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.