模糊神经网络在主汽温控制系统中的应用  

FNN Application in Main Stream Temperature Control System

作　　者：平玉环[1] 于希宁[1] 孙剑[1] 

机构地区：[1]华北电力大学

出　　处：《可编程控制器与工厂自动化（PLC FA）》2010年第8期80-82,95,共4页Programmable controller & Factory Automation(PLC & FA)

基　　金：学校基金;基金号:200812008

摘　　要：本文针对某电厂主汽温度系统的大滞后、大惯性、非线性等特点,提出采用综合了神经网络和模糊逻辑两种控制技术优势的改进型模糊神经网络控制算法,将其应用到主汽温控制系统中,并进行了仿真实验,与主汽温普通串级控制和模糊PID控制进行了比较,结果表明模糊神经网络控制系统具有较强的鲁棒性及良好的控制品质。According to the fresh steam temperature system characteristics of great lagging, great inertia, non-linear in one power plante-this article proposes an advanced fuzzy neural network control algorithm that adopts two kinds of control technology advantages of neural network and fuzzy logic. Apply this improved fuzzy neural network to the fresh steam temperature control systeme-,and carry on the simulation experiment. Compared with the fresh steam ordinary cascade control and fuzzy PID control, the result of simulation experiment indicates that the fuzzy neural network control system has great robustness and good control quality.

关 键 词：主汽温 串级控制 模糊PID控制 模糊神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]