基于神经网络的热风炉的模糊控制

摘要

针对热风炉燃烧控制的特点,将模糊控制技术与神经网络技术相结合,提出了一种基于模糊神经网络的热风炉燃烧控制方法.该方法充分考虑了系统非线性、难以建模和具有强耦合性的特点,应用模糊神经网络对模糊规则进行快速提取,通过模糊学习,解决了模糊控制应用中规则难以获取的问题.%Considering the characteristics of hot blast stove combustion control, and through combining fuzzy control with neural network technology, a fuzzy neural network-based control method was presented to take full account of the nonlinearity, and the difficulty in modeling and the strong coupling; basing on the fuzzy learning, it can have the fuzzy neural network applied to fast extracting fuzzy rules to solve the problem that fuzzy control rules are difficult to achieve in fuzzy control application.