基于改进遗传算法的燃气轮机自适应建模

刘永葆; 贺星; 黄树红

基于改进遗传算法的燃气轮机自适应建模

1.
海军工程大学船舶与动力学院, 武汉 430033
2.
华中科技大学能源与动力工程学院, 武汉 430074

基金项目: 国家自然科学基金创新研究群体科学基金(50721005)

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出版历程
- 收稿日期: 2011-04-25
- 修回日期: 2011-09-07
- 刊出日期: 2012-03-28

Adaptive simulation of gas turbine performance using improved genetic algorithm

1.
College of Naval Architecture and Marine Power, Naval University of Engineering, Wuhan 430033, China
2.
College of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

摘要

摘要: 综合运用了一种改进的遗传算法和自适应建模技术对燃气轮机的精确特性进行寻优获取.引入自适应机制优化交叉和变异算子,同时引入模拟退火算法,使改进遗传算法能很快接近最优解,并能跳出局部最优的陷阱,在保证解的质量的同时提高了收敛的速度.针对以往自适应模型中未考虑测量参数间的线性相关性和不同的传感器测量精度对目标函数的影响等问题,采用加权方法建立了较为完备的燃气轮机自适应数学模型,应用改进遗传算法获取燃气轮机部件的精确特性,实例计算结果表明:模拟退化改进遗传算法进行的自适应建模效果更好.
- 燃气轮机 /
- 自适应建模 /
- 修正因子 /
- 遗传算法 /
- 模拟退火
Abstract: The precision performance of gas turbine was obtained by synthetically using an improved genetic algorithm and adaptive modeling techniques.Adaptive mechanisms were also added to optimize the crossover and mutation operators,and simulated annealing was also imported.The improved genetic algorithm can approach the optimal solution quickly,and trip out the trap of locally optimal solution.It can insure the solution quality and improve the convergence speed.Considering that previous studies did not take into account the problems that the objective function was impacted by some measuring parameters which had linear correlation and sensor accuracy class,a more maturity adaptive model was established by using the weighted method,and the algorithm was used to search the precision performance.The results show that the improved GA-based performance adaptation method is more robust.
- gas turbine /
- adaptive simulation /
- modified factors /
- genetic algorithm /
- simulated annealing

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参考文献(15)

[1]	Stamatis A,Mathioudakis K,Papailiou K D.Adaptive simulation of gas turbine performance[J].Journal of Gas Turbine and Power,1990,112(2):168-175.
[2]	谢光华,曾庆福,张燕东.航空发动机仿真模型参数自适应校正[J].航空动力学报,1998,13(1):37-40. XIE Guanghua,ZENG Qingfu,ZHANG Yandong.Adaptive rectification of parameters in aeroengine simulation model[J].Journal of Aerospace Power,1998,13(1):37-40.(in Chinese)
[3]	段守付,樊思齐,卢燕.航空发动机自适应建模技术研究[J].航空动力学报,1999,14(4):440-442. DUAN Shoufu,FAN Siqi,LU Yan.Adaptive modelling technique for aeroengine[J].Journal of Aerospace Power,1999,14(4):440-442.(in Chinese)
[4]	吴虎,肖洪,蒋建军.涡扇发动机部件特性自适应模拟[J].推进技术,2005,26(5):430-433. WU Hu,XIAO Hong,JIANG Jianjun.Adaptive simulation of turbofan engine component performance[J]. Journal of Propulsion Technology,2005,26(5):430-433.(in Chinese)
[5]	陈玉春,黄兴,徐思远,等.涡轮发动机部件特性自适应模型的确定方法[J].推进技术,2008,29(2):214-218. CHEN Yuchun,HUANG Xing,XU Siyuan,et al.A method of definition for the adaptive simulation model of gas turbine performance[J].Journal of Propulsion Technology,2008,29(2):214-218.(in Chinese)
[6]	肖洪,刘振侠,廉筱纯.两种涡扇发动机部件特性自适应模型对比[J].中国民航大学学报,2008,26(3):17-19. XIAO Hong,LIU Zhenxia,LIAN Xiaochun.Comparison of two simulation models of turbofan component performance[J].Journal of Civil Aviation University of China,2008,26(3):17-19.(in Chinese)
[7]	蒋建军,鲁伟,尹洪举,等.航空发动机部件特性自适应计算方法[J].航空计算技术,2008,38(4):11-13. JIANG Jianjun,LU Wei,YIN Hongju,et al.Adaptive simulation of a missile engine component performance [J].Aeronautical Computing Technique,2008,38(4):11-13.(in Chinese)
[8]	王永华,李本威,孙涛,等.基于部件特性自适应的涡扇发动机仿真[J].燃气涡轮试验与研究,2009,35(2):11-13. WANG Yonghua,LI Benwei,SUN Tao,et al.Self-adaptive simulation of turbofan engine based on components characteristics[J].Gas Turbine Experiment and Reasearch,2009,35(2):11-13.(in Chinese)
[9]	Stamatis A,Kamboukos P,Aretakis N,et al.On board adaptive models:a general framework and implementation aspects //Proceedings of ASME Turbo.Expo.2002.Amsterdam,The Netherlands:International Gas Turbine Institude,2002.
[10]	Li Y G,Pilidis P,Newby M A.An adaptation approach for gas turbine design-point performance simulation[J].Journal of Engineering for Gas Turbines and Power,2006,128(4):789-795.
[11]	Li Y G.Gas turbine performance and health status estimation using adaptive gas path analysis[J].Journal of Engineering for Gas Turbines and Power,2010,132(4):041701-041709.
[12]	Li Y G,Marinai L,Gatto E L,et al.Multiple point adaptive performance simulation tuned to aeroengine test-bed data[J].Journal of Propulsion and Power,2009,25(3):635-641.
[13]	Li Y G,Pilidis P.GA-based design-point performance adaptation and its comparison with ICM-based approach[J].Applied Energy,2010,87(1):340-348.
[14]	阮国靖.基于模拟退火改进的实参遗传算法及其工程应用[J].科学技术与工程,2010,10(20):5046-5049. RUAN Guojing.Simulated annealing and it’s engineering application[J].Science Technology and Engineering,2010,10(20):5046-5049.(in Chinese)
[15]	凌玲,胡于进,王青青,等.基于改进遗传算法的孔群加工路径优化[J].华中科技大学学报(自然版),2009,37 (8):88-91. LING Ling,HU Yujin,WANG Qingqing,et al.Holes machining path optimization using the improved genetic algorithm[J].Journal of Huazhong University of Science and Technology (Natural Science Edition),2009,37(8):88-91.(in Chinese)