典型文献
Adaptive Neural Network Control of Thermoacoustic Instability in Rijke Tube:A Fully Actuated System Approach
文献摘要：
Thermoacoustic instability phenomena often encounter in gas turbine combustors,espe-cially for the premixed combustor design,with many possible detrimental results.As a classical exper-iment,the Rijke tube is the simplest and the most effective illustration to study the thermoacoustic instability.This paper investigates the active control approach of the thermoacoustic instability in a horizontal Rijke tube.What's more,the radial basis function(RBF)neural network is adopted to estimate the complex unknown continuous nonlinear heat release rate in the Rijke tube.Then,based on the proposed second-order fully actuated system model,the authors present an adaptive neural network controller to guarantee the flow velocity fluctuation and pressure fluctuation to converge to a small region of the origin.Finally,simulation results demonstrate the feasibility of the design method.
文献关键词：
中图分类号：
作者姓名：
ZHAO Yuzhuo;MA Dan;MA Hongwei
作者机构：
State Key Laboratory of Synthetical Automation for Process Industries and College of Information Science and Engineering,Northeastern University,Shenyang 110819,China;College of Information Science and Engineering,Northeastern University,Shenyang 110819,China
文献出处：
引用格式：
[1]ZHAO Yuzhuo;MA Dan;MA Hongwei-.Adaptive Neural Network Control of Thermoacoustic Instability in Rijke Tube:A Fully Actuated System Approach)[J].系统科学与复杂性学报（英文版）,2022(02):586-603
A类：
Thermoacoustic
B类：
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AB值：
0.658563
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