Detection and prevention of blowout in a lean premixed gas-turbine model combustor using the concept of dynamical system theory

被引:58
作者
Domen, Shohei [1 ]
Gotoda, Hiroshi [1 ]
Kuriyama, Taku [1 ]
Okuno, Yuta [1 ]
Tachibana, Shigeru [2 ]
机构
[1] Ritsumeikan Univ, Dept Mech Engn, Kusatsu, Shiga 5258577, Japan
[2] Japan Aerosp Explorat Agcy, Inst Aeronaut Technol, Prop Syst Res Grp, Chofu, Tokyo 1828522, Japan
基金
日本科学技术振兴机构;
关键词
Gas-turbine combustor; Combustion instability; Nonlinear dynamics; BURNER; FLAMES; CHAOS;
D O I
10.1016/j.proci.2014.07.014
中图分类号
O414.1 [热力学];
学科分类号
摘要
We propose a novel online method of detecting lean blowout (LBO) in a laboratory-scale premixed-type gas-turbine model combustor from the viewpoint of dynamical system theory that enables us to quantify the complexity in combustion instability. The multiscale entropy method and nonlinear forecasting method, which have not been previously adopted for the analysis of combustion instability, demonstrate that combustion instability close to LBO exhibits much more complicated stochastic dynamics than fractional Brownian motion. The permutation entropy, which can be estimated by quantifying the rank order pattern of components in phase space vectors constructed from the short time-series data of pressure fluctuations, is used as a control variable to prevent LBO. The online method proposed in this work has the potential to control the complex combustion state close to LBO. (C) 2014 Published by Elsevier Inc. on behalf of The Combustion Institute.
引用
收藏
页码:3245 / 3253
页数:9
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