神经网络方法在循环流化床燃烧中的应用

本文分析了循环流化床锅炉燃烧控制系统的特点。针对主蒸汽压力控制系统。提出一种新型的基于改进BP神经网络的PID控制方法。该方法将神经网络和PID控制策略相结合。既具有神经网络自学习、自适应及逼近任意函数的能力。又具有常规PID控制器结构简单的特点。仿真研究表明这种BP神经网络PID控制能克服对象的大惯性、抗干扰性。大大改善控制品质。

The application of the neural network control method in the combustion process of circulating fluidized bed boiler

The article analyses the feature of the combustion control system of circulating fluidized bed boiler. To the control system of the main steam pressure, this paper proposes a new type of PID control method based on the improved BP neural network, which is a combina- tion of the neural network and the PID strategy, It has the merits of both neural network and PID controller. A simulation study showed that the platform is good in overcoming the object inertia, time--variability, and random disturbance ,and can considerably improve the control quality.