摘要
作为一个分布参数、非线性、时变、多变量耦合对象,循环流化床锅炉很难建立起精确的数学模型,常规的控制方案效果不理想。通过结合神经网络和预测控制的优点,提出了神经网络预测控制方法,并对循环流化床的床温系统进行仿真,以BP网络作为控制系统的预测模型,仿真结果显示该控制器性能优良。
For distribution parameter, nonlinear, time-vary and multivariate coupling, it is difficult to build up a precise mathematical model for the circulating fluidized bed （CFB） boiler,meanwhile, routine controllers cafft perform well. The paper presents a NN predictable control measure based on the advantage of NN and predictable control and attempt to use this controller in the bed temperature system. The simulation results shows that the controller has a good control performance.
出处
《电力学报》
2009年第2期121-124,共4页
Journal of Electric Power
关键词
循环流化床
床温
神经网络预测控制
circulating fluidized bed
bed temperature
neural network predictive control
