This paper proposes a hybrid method (HMRC) comprised of a radial basis function (RBF) neural net algorithm and component-level modeling method (CMM) as a real-time simulation model for triaxial gas turbines with variable power turbine guide vanes in matlab/simulink. The sample size is decreased substantially after analyzing the relationship between high and low pressure shaft rotational speeds under dynamic working conditions, which reduces the computational burden of the simulation. The effects of the power turbine rotational speed on overall performance are also properly accounted for in the model. The RBF neural net algorithm and CMM are used to simulate the gas generator and power turbine working conditions, respectively, in the HMRC. The reliability and accuracy of both the traditional single CMM model (SCMM) and HMRC model are verified using gas turbine experiment data. The simulation models serve as a controlled object to replace the real gas turbine in a hardware-in-the-loop simulation experiment. The HMRC model shows better real-time performance than the traditional SCMM model, suggesting that it can be readily applied to hardware-in-the-loop simulation experiments.
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September 2018
Research-Article
Real-Time Variable Geometry Triaxial Gas Turbine Model for Hardware-in-the-Loop Simulation Experiments
Tao Wang,
Tao Wang
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: wangtao15@iet.cn
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: wangtao15@iet.cn
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Yong-Sheng Tian,
Yong-Sheng Tian
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: tianyongsheng@iet.cn
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: tianyongsheng@iet.cn
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Zhao Yin,
Zhao Yin
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: yinzhao@iet.cn
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: yinzhao@iet.cn
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Da-Yue Zhang,
Da-Yue Zhang
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: zhangdayue@iet.cn
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: zhangdayue@iet.cn
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Ming-Ze Ma,
Ming-Ze Ma
Energy and Power Engineering College,
Inner Mongolia University of Technology,
Huhhot 010080, China
e-mail: 540634964@qq.com
Inner Mongolia University of Technology,
Huhhot 010080, China
e-mail: 540634964@qq.com
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Qing Gao,
Qing Gao
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: gaoqing@iet.cn
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: gaoqing@iet.cn
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Chun-Qing Tan
Chun-Qing Tan
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: tan@iet.cn
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: tan@iet.cn
Search for other works by this author on:
Tao Wang
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: wangtao15@iet.cn
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: wangtao15@iet.cn
Yong-Sheng Tian
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: tianyongsheng@iet.cn
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: tianyongsheng@iet.cn
Zhao Yin
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: yinzhao@iet.cn
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: yinzhao@iet.cn
Da-Yue Zhang
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: zhangdayue@iet.cn
Chinese Academy of Sciences,
Beijing 100190, China
e-mail: zhangdayue@iet.cn
Ming-Ze Ma
Energy and Power Engineering College,
Inner Mongolia University of Technology,
Huhhot 010080, China
e-mail: 540634964@qq.com
Inner Mongolia University of Technology,
Huhhot 010080, China
e-mail: 540634964@qq.com
Qing Gao
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: gaoqing@iet.cn
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: gaoqing@iet.cn
Chun-Qing Tan
Institute of Engineering Thermophysics,
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: tan@iet.cn
Chinese Academy of Sciences,
University of Chinese Academy of Sciences,
Beijing 100190, China
e-mail: tan@iet.cn
1Corresponding author.
Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received August 25, 2017; final manuscript received December 27, 2017; published online May 24, 2018. Assoc. Editor: Liang Tang.
J. Eng. Gas Turbines Power. Sep 2018, 140(9): 092603 (10 pages)
Published Online: May 24, 2018
Article history
Received:
August 25, 2017
Revised:
December 27, 2017
Citation
Wang, T., Tian, Y., Yin, Z., Zhang, D., Ma, M., Gao, Q., and Tan, C. (May 24, 2018). "Real-Time Variable Geometry Triaxial Gas Turbine Model for Hardware-in-the-Loop Simulation Experiments." ASME. J. Eng. Gas Turbines Power. September 2018; 140(9): 092603. https://doi.org/10.1115/1.4038992
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