神经网络自学习模糊控制器在直流蒸汽发生器控制中的应用

针对直流蒸发器的动态过程中,各段长度均发生变化,干扰因素多,具有不确定性和非线性等特性,利用神经网络具有并行处理,分布式信息存贮,自学习自适应特点等,设计了基于神经网络的自学习模糊控制器,仿真结果表明,所设计的控制器具有良好的控制效果。本文研究结果对直流蒸汽发生器的控制系统设计具有一定的指导意义。

Application of Self-learning Fuzzy Controller Based on Neural Network in Once-through Steam Generator

In this paper,a self-learning fuzzy controller based on neural network is presented,that is designed by use of the characteristics owned by the network,such as parallel treatment,distributive information store,self-learning and self-adapting.The controller is provided with self-learning and self-adapting ability.Simulation results show that the controller has good control effect.This effort could provide some guidance for design of control system of once-through steam generator.