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基于PSO算法的FCMAC控制器及其在主汽温控制中的应用
引用本文:程启明,王勇浩. 基于PSO算法的FCMAC控制器及其在主汽温控制中的应用[J]. 动力工程, 2007, 27(3): 349-352,380
作者姓名:程启明  王勇浩
作者单位:1. 上海电力学院,电力与自动化学院,上海,200090
2. 上海理工大学,光电学院,上海,200090
基金项目:上海市重点学科建设项目 , 上海市教委资助项目
摘    要:模糊CMAC神经控制器能反映人脑认知的模糊性和连续性,它采用高斯函数作为模糊隶属函数,利用CMAC神经网络实现模糊推理,并可对隶属函数进行实时调整,从而使它具有自适应和学习能力.文中讨论了这种控制器参数的PSO学习算法,对电厂锅炉主蒸汽温度控制的仿真表明了FCMAC控制器及其PSO学习算法的可行性和有效性.

关 键 词:自动控制技术  锅炉  主汽温  模糊CMAC神经网络  PSO优化算法
文章编号:1000-6761(2007)03-349-04
修稿时间:2006-07-152007-01-31

A FCMAC Controller Based on PSO Algorithm and its Application for Fresh Steam Temperature Control
CHENG Qi-ming,WANG Yong-hao. A FCMAC Controller Based on PSO Algorithm and its Application for Fresh Steam Temperature Control[J]. Power Engineering, 2007, 27(3): 349-352,380
Authors:CHENG Qi-ming  WANG Yong-hao
Affiliation:1. College of Electric Power and Automation, Shanghai University of Electric Power, Shanghai 200090, China; 2. College of Photoelectricity, Shanghai University of Science and Engineering, Shanghai 200090, China
Abstract:Fuzzy CMAC neural controllers can reflect the fuzzyness and continuity of human cognition.It acquires self-adoptiveness and learning capability by adopting Gauss function for fuzzy membership functions,realizing fuzzy inference by making use of CMAC neural networks,and the possibility of real time adjustment of membership functions.The parameters' PSO learning algorithm of the controller is being discussed.Simulation studies of fresh steam temperature control in power plants show the feasibility and effectiveness of CMAC controllers as well its PSO learning algorithm.
Keywords:automatic control technique   boiler   fresh steam temperature   fuzzy CMAC neural network   PSO optimizing algorithm
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