模糊神经网络自适应控制在循环流化床锅炉燃烧控制系统中的应用研究

摘要

The circulating fluidized bed boiler (CFBB) is a complex controlled plant, so the conventional control methods can not receive a good control effect for CFBB. In this paper, according to fuzzy control theory and neural network, a fuzzy neural network controller is proposed. By reasonable design of the neural decoupling network, the controller can not only adapt to the variable parameters of the controlled plant, but also can realize the decoupling of main steam pressure and bed temperature for CFBB combustion process. The simulation test and application in the field results show that the controller has excellent control effect to CFBB combustion process.%循环流化床锅炉是一种比较复杂的被控对象,采用常规的控制方法难以收到好的控制效果.在本文中,根据模糊控制理论和神经网络技术,一种模糊神经网络控制器被提出,通过对神经解耦网络的合理设计,使得该控制器不但可以适应被控对象的变参数运行工况,而且可以实现循环流化床锅炉燃烧过程主汽压力与床层温度的解耦.仿真试验和现场应用结果证明,本文提出的模糊神经网络控制器对循环流化床锅炉燃烧过程具有良好的控制效果.