摘要
为了使基于神经网络的内模控制更好地适用于高阶对象 ,本文提出一种基于改进的Elman网络的内模控制系统 ,并以循环流化床锅炉中的床层温度为对象进行仿真研究 。
To achieve a better use of the neural network based internal model control on higher order objects, the present paper proposes an internal model control system based on an improved Elman network. Furthermore, with the temperature of a bed layer in a circulating fluidized bed boiler serving as an object under investigation a simulation study has been conducted. The results of the study indicate that the proposed system features a good robustness and a high anti interference ability with respect to the error of the model.
出处
《热能动力工程》
CAS
CSCD
北大核心
2000年第4期429-431,共3页
Journal of Engineering for Thermal Energy and Power
