一种基于粒子群优化算法的燃气轮机自适应热力计算方法

被引:5
作者
应雨龙 [1 ,2 ]
李淑英 [1 ]
机构
[1] 哈尔滨工程大学动力与能源工程学院
[2] 上海电气燃气轮机有限公司
关键词
燃气轮机; 粒子群优化算法; 热力计算; 自适应;
D O I
10.16120/j.cnki.issn1009-2889.2015.04.008
中图分类号
TK472 [设计、计算];
学科分类号
摘要
准确的燃气轮机热力计算模型在燃气轮机性能分析和气路故障诊断应用中起到关键作用。对于当前的热力性能建模技术,在变工况下的热力计算准确性主要取决于燃气轮机各部件(压气机和透平)特性线的精度。为了提高热力计算的精度,本文提出了一种基于粒子群优化算法的燃气轮机自适应热力计算方法,来提高设计工况和变工况下的热力计算准确性。该方法主要分为两步,包括设计点性能自适应和变工况性能自适应。所提出的自适应热力计算方法已经应用于某型三轴船用燃气轮机热力建模中,通过验证表明该方法能够大大提高热力计算的准确性。
引用
收藏
页码:48 / 54
页数:7
相关论文
共 11 条
  • [1] An advanced gas turbine gas path diagnostic system-pythia. Y. G. Li,and R. Singh. 17th Symposium on Air Breathing Engines . 2005
  • [2] 基于MATLAB/GUI的间冷循环燃气轮机的仿真评估软件开发设计和使用策略研究
    应雨龙
    李淑英
    [J]. 燃气轮机技术, 2013, 26 (04) : 33 - 40
  • [3] A new scaling method for component maps of gas turbine using system identification. Kong, C.,Ki, J.,Kang, M. Journal of Engineering . 2003
  • [4] Component map generation of a gas turbine using genetic algorithms. Kong, Changduk,Kho, Seonghee,Ki, Jayoung. Journal of Engineering . 2006
  • [5] An adaptation approach for gas turbine design-point performance simulation. Li, Y.G.,Pilidis, P.,Newby, M.A. Journal of Engineering . 2006
  • [6] Adaptive modeling of jet engine performance with application to condition monitoring. Lambiris, B.,Mathioudakis, K.,Stamatis, A.,Papailiou, K. Journal of Propulsion Technology . 1994
  • [7] Multiple-point Adaptive performance simulation tuned to aeroengine test-bed data. Li, Y.G.,Marinai, L.,Gatto, E. Lo,Pachidis, V.,Pilidis, P. Journal of Propulsion Technology . 2009
  • [8] Adaptive simulation of gas turbine performance. Stamatis A,Mathioudakis K,Papailiou K. D. Journal of Engineering . 1990
  • [9] Gas turbine off-design performance adaptation using a genetic algorithm. Gatto E L,Li Y G,Pilidis P. ASME Turbo Expo2005.Power for Land,Sea,and Air . 2005
  • [10] Probabilistic matching of turbofan engine performance models to test data. Roth B A,Doel D L,Cissell J J. ASME Turbo Expo 2005.Power for Land,Sea,and Air . 2005