基于模糊神经网络智能PI的过热蒸汽温度控制研究  

STUDY ON SUPERHEATED STEAM TEMPERATURE CONTROL BASED ON INTELLIGENT PI OF FUZZY NEURAL NETWORKS

作　　者：马宁[1] 

机构地区：[1]山西工程职业技术学院,山西太原030009

出　　处：《热力发电》2007年第6期101-103,118,共4页Thermal Power Generation

摘　　要：介绍了在电厂过热蒸汽温度控制中采用模糊神经网络智能PI(FNN-PI)的控制方法。将基于FNN-PI的过热蒸汽温度控制系统与传统的PID过热蒸汽温度控制系统进行了仿真比较,结果表明采用FNN-PI的过热蒸汽温度控制系统的控制特性在超调量、快速性、抗干扰方面均有很大的提高。A control method using intelligent PI of the fuzzy neural networks in superheated steam tempere control of power plants has been presented, and a simulation comparison between the said control system and the traditional PID control system being carried out. Results show that the control performance of the control system using FNN - PI has been greatly enhanced in aspects of overshoot, rapidity, and anti-jamming.

关 键 词：FNN-PI 过热蒸汽 温度控制 PID 仿真 

分 类 号：TK323[动力工程及工程热物理—热能工程]