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基于模糊神经网络的压缩机防喘振控制系统研究
引用本文:徐惠敏,马晓明.基于模糊神经网络的压缩机防喘振控制系统研究[J].煤矿机械,2011(10):81-83.
作者姓名:徐惠敏  马晓明
作者单位:衢州学院机械工程学院;
基金项目:校级科研项目(QY0616)
摘    要:离心式压缩机防喘振控制系统具有复杂非线性、高精度控制要求等特点,传统的控制方式难以实现理想的控制效果。针对这一问题,将模糊控制系统中方便的知识抽取表达和神经网络的自适应学习与并行计算等功能有机结合,得到了性能更加完善的模糊神经网络系统。仿真分析表明,采用模糊神经网络控制可显著提升离心式压缩机防喘振控制系统的工作性能,比模糊控制具有更小的超调量和振荡。

关 键 词:离心式压缩机  模糊神经网络  防喘振控制  模糊控制

Research on Centrifugal Compressor Antisurge Control System Based on Fuzzy Neural Network
XU Hui-min,MA Xiao-ming.Research on Centrifugal Compressor Antisurge Control System Based on Fuzzy Neural Network[J].Coal Mine Machinery,2011(10):81-83.
Authors:XU Hui-min  MA Xiao-ming
Affiliation:XU Hui-min,MA Xiao-ming(Quzhou University,College of Mechanical Engineering,Quzhou 324000,China)
Abstract:It has been generally recognized that traditional methods can hardly achieve satisfactory control effect in Centrifugal Compressor Antisurge Control System(CCACS),for its specific characteristics of complex non-linearity and high precision control requirements.A Fuzzy Neural Network System(FNNS) with more perfect performance was obtained through combination of fuzzy controlling and neural network,which took each advantages of convenient knowledge abstracting expression and adaptive learning function,respect...
Keywords:centrifugal compressor  fuzzy neural network  antisurge control  fuzzy control  
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