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双轴燃气轮机动态仿真模型研究 被引量:2

Dynamic simulation model for biaxial gas turbines
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摘要 为了提高燃气轮机仿真的精度,采用变比热容的计算方法,并考虑了油气比和排压的变化,基于Matlab/Simulink软件建立了一种非线性的考虑容积惯性的双轴燃气轮机动态仿真模型.该模型中各个模块分别对应于具体的机器部件,物理意义明确,且单个模块的独立性比较好,具有较强的扩展性.仿真结果和试验数据比较表明:此仿真模型能够将运算偏差控制在3%以内,较精确地反映系统的动态特性,且与以往的仿真模型运算结果相比较,相对准确度可提高55%以上. In order to improve the accuracy of the simulation, one nonlinear dynamic simulative model for biaxial gas turbine is proposed by using calculation method of variable specific heat, in which the variation of gas-oil ratio and discharge pressure were considered, based on Matlab/Simulink. Each component of this model corresponded to the real machine part with definite physical significance and individual module has better independence to possess good expansibility. The operation result shows that this simulation model can make the bias within 3 %, meaning that this simulation model was more accurate to reflect the system's dynamic characteristics. Compared with other normal simulation models, its relative accuracy could be improved by 55 %.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2007年第4期92-95,共4页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
关键词 双轴燃气轮机 动态仿真 Simulink软件 变比热容 biaxial gas turbine dynamic simulation Simulink variable specific heat
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  • 1翁史烈,张百年,朱宏.燃气轮机可调桨推进装置实时混合仿真[J].热能动力工程,1989,4(5):1-7. 被引量:2
  • 2冯惠军,冯允成.面向对象的仿真综述[J].系统仿真学报,1995,7(3):58-64. 被引量:25
  • 3汪玉.舰用燃气轮机的实时仿真数学模型.热能动力工程,1988,3(5):1-6.
  • 4翁史烈,燃气轮机性能分析,1987年
  • 5薛定宇,控制系统计算机辅助设计.MATLAB语言及应用,1996年
  • 6汪玉,热能动力工程,1988年,3卷,5期,1页
  • 7Zhang Na,Cai Ruixian. Analytical solutions and typical characterstics of part-load performances of single shaft gas turbine and its cogeneration[ J]. Energy Conversion and Management. 2002, 43:1323-1337.

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  • 1吴斌,宋景东,张建明,樊川,杨伟,刘华山,徐志明.浅谈轮南燃机电站甩负荷试验中的几个问题[J].燃气轮机技术,2006,19(2):53-57. 被引量:1
  • 2余又红,王义,孙丰瑞,张仁兴.舰用中冷回热燃气轮机装置动态性能分析[J].海军工程大学学报,2007,19(1):81-85. 被引量:2
  • 3DIAKUNCHAK I S. Performance degradation in industrial gas turbines [J]. Journal of Engineering for Gas Tur- bines Power, 1992,114:161-168.
  • 4LI Y G. Gas turbine performance and health status estimation using adaptive gas path analysis [J]. Journal of Engi neering for Gas Turbines Power, 2010,132(4) : 1- 9.
  • 5YOON J E, LEE J J, KIM T S, et al. Analysis of performance deterioeration of a micro gas turbine and the use of neural network for prediction deteriorated component characteristics [J]. Journal of Mechanical Science and Technology, 2008,22(12) :2516-2525.
  • 6NAEEM M. Impacts of low-pressure (LP) compressorsts fouling of a turbofan upon operational-effectiveness of a military aircraft [J]. Applied Energy, 2008,85 (4) : 243- 270.
  • 7BEHBAHANI A. SEMEGA K. Sensing Challenges for Controls and PHM in the Hostile Operating Conditions of Modern Turbine Engine [R]. Wright-Patterson.. Air Force Research Laboratory, 2008.
  • 8KAMBOUKOS P, MATHIOUDAKIS K. Comparison of linear and nonlinear gas turbine performance diagnostics[J]. Journal of Engineering for Gas Turbine and Power, 2005,127(1):49-56.
  • 9何远令.GT25000燃气轮机燃油控制系统仿真[D].武汉:海军工程大学,2009.
  • 10贺星,刘永葆,孙丰瑞.基于燃气马力的燃气轮机性能退化[J].华中科技大学学报(自然科学版),2009,37(12):96-99. 被引量:2

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