| Citation: | Liu Enhong, Wang Funing, Zhang Min, et al. Performance prediction of gas turbine engines driven by test and overall performance simulation data[J]. Journal of Aerospace Power, 2026, 41（9）：20250308 doi: 10.13224/j.cnki.jasp.20250308
|
Taking a certain gas turbine as the research object, a component-based overall performance computational model was developed. Sensitivity analysis was conducted to select appropriate correction coefficients for component characteristics. Test data was then coupled to design a coordinated operating equation set, and multi-point optimization was applied to refine the component characteristics. This methodology ultimately yielded a high-precision overall performance simulation model for the gas turbine. Based on the data obtained from the modified overall performance simulation model, a gas turbine performance prediction model was established using a multilayer perceptron (MLP). The results showed that, compared with the test data, the prediction model based on the modified gas turbine overall performance simulation data had an error of less than 1% in the performance evaluation of each steady-state operating point, which met the engineering accuracy requirements. It was also 74.7% faster than the corrected model, significantly reducing the computing time, and providing technical support for real-time prediction of the overall performance of gas turbine.
| [1] |
刘大响, 金捷, 刘邓欢. 数值仿真技术在航空动力研制中的地位和作用[J]. 航空动力学报, 2022, 37(10): 2017-2024. Liu Daxiang, Jin Jie, Liu Denghuan. Position and function of numerical simulation technology in aero-engine development[J]. Journal of Aerospace Power, 2022, 37(10): 2017-2024. (in Chinese doi: 10.13224/j.cnki.jasp.20220103
Liu Daxiang, Jin Jie, Liu Denghuan. Position and function of numerical simulation technology in aero-engine development[J]. Journal of Aerospace Power, 2022, 37(10): 2017-2024. (in Chinese) doi: 10.13224/j.cnki.jasp.20220103
|
| [2] |
王富宁, 杨晨, 张小玉, 等. 耦合17级压气机通流模型的燃气涡轮发动机混合维度仿真研究[J]. 工程热物理学报, 2024, 45(9): 2612-2621. Wang Funing, Yang Chen, Zhang Xiaoyu, et al. Hybrid-dimensional simulation of gas turbine coupled with 17-stage compressor through-flow model[J]. Journal of Engineering Thermophysics, 2024, 45(9): 2612-2621. (in Chinese
Wang Funing, Yang Chen, Zhang Xiaoyu, et al. Hybrid-dimensional simulation of gas turbine coupled with 17-stage compressor through-flow model[J]. Journal of Engineering Thermophysics, 2024, 45(9): 2612-2621. (in Chinese)
|
| [3] |
王涛. 变几何三轴式燃气轮机总体性能及控制规律研究[D]. 北京: 中国科学院大学, 2019. Wang Tao. Characteristic and control law investigations on variable geometry triaxial gas turbine[D]. Beijing: Chinese Academy of Sciences, 2019. (in Chinese
Wang Tao. Characteristic and control law investigations on variable geometry triaxial gas turbine[D]. Beijing: Chinese Academy of Sciences, 2019. (in Chinese)
|
| [4] |
董威, 尹家录, 郑培英, 等. 航空发动机及燃气轮机整机性能仿真综述[J]. 航空发动机, 2023, 49(5): 8-21. Dong Wei, Yin Jialu, Zheng Peiying, et al. Review: engine-level performance simulation of aeroengine and gas turbines[J]. Aeroengine, 2023, 49(5): 8-21. (in Chinese
Dong Wei, Yin Jialu, Zheng Peiying, et al. Review: engine-level performance simulation of aeroengine and gas turbines[J]. Aeroengine, 2023, 49(5): 8-21. (in Chinese)
|
| [5] |
Kayadelen H K, Ust Y. Thermodynamic, environmental and economic performance optimization of simple, regenerative, STIG and RSTIG gas turbine cycles[J]. Energy, 2017, 121(C): 751-771.
|
| [6] |
焦洋. 民用大涵道比涡扇发动机建模与控制研究[D]. 南京: 南京航空航天大学, 2016. Jiao Yang. Research on modeling and control of civil turbofan engine with large bypass ratio[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2016. (in Chinese
Jiao Yang. Research on modeling and control of civil turbofan engine with large bypass ratio[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2016. (in Chinese)
|
| [7] |
林新智. 双轴燃气轮机性能仿真及故障特征研究[D]. 北京: 北京化工大学, 2020. Lin Xinzhi. Research on performance simulation and fault characteristics of dual shaft gas turbine[D]. Beijing: Beijing University of Chemical Technology, 2020. (in Chinese
Lin Xinzhi. Research on performance simulation and fault characteristics of dual shaft gas turbine[D]. Beijing: Beijing University of Chemical Technology, 2020. (in Chinese)
|
| [8] |
Zhang Peng, Feng Kun, Liu Baoxia, et al. Operational data-based adaptive improvement method of gas turbine component characteristics for performance simulation[J]. Journal of Mechanical Science and Technology, 2023, 37(12): 6691-6709. doi: 10.1007/s12206-023-1040-2
|
| [9] |
Deng Weimin, Xu Yibing, Ni Ming, et al. Multi-fidelity simulation of gas turbine overall performance by directly coupling high-fidelity models of multiple rotating components[J]. Journal of Thermal Science, 2024, 33(4): 1357-1378. doi: 10.1007/s11630-024-1975-3
|
| [10] |
Kurzke J. How to get component maps for aircraft gas turbine performance calculations[R]. ASME Paper 96-GT-164, 1996.
|
| [11] |
Tamiru A L, Hashim F M, Rangkuti C. Generating gas turbine component maps relying on partially known overall system characteristics[J]. Journal of Applied Sciences, 2011, 11(11): 1885-1894. doi: 10.3923/jas.2011.1885.1894
|
| [12] |
Spina P R. Gas turbine performance prediction by using generalized performance curves of compressor and turbine stages[R]. ASME Paper GT2002-30275, 2002.
|
| [13] |
Kong C, Ki J. Components map generation of gas turbine engine using genetic algorithms and engine performance deck data[J]. Journal of Engineering for Gas Turbines and Power, 2007, 129(2): 312-317. doi: 10.1115/1.2436561
|
| [14] |
Tsoutsanis E, Li Y G, Pilidis P, et al. Part-load performance of gas turbines: Part Ⅰ a novel compressor map generation approach suitable for adaptive simulation[R]. ASME Paper GTIndia2012-9580, 2013.
|
| [15] |
路绪坤. 燃气轮机压气机特性曲线拟合研究[D]. 北京: 中国科学院大学, 2021. Lu Xukun. Study on fitting characteristic curve of gas turbine compressor[D]. Beijing: University of Chinese Academy of Sciences, 2021. (in Chinese
Lu Xukun. Study on fitting characteristic curve of gas turbine compressor[D]. Beijing: University of Chinese Academy of Sciences, 2021. (in Chinese)
|
| [16] |
林京, 张博瑶, 张大义, 等. 航空燃气涡轮发动机故障诊断研究现状与展望[J]. 航空学报, 2022, 43(8): 626565. Lin Jing, Zhang Boyao, Zhang Dayi, et al. Research status and prospect of fault diagnosis for gas turbine aeroengine[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(8): 626565. (in Chinese
Lin Jing, Zhang Boyao, Zhang Dayi, et al. Research status and prospect of fault diagnosis for gas turbine aeroengine[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(8): 626565. (in Chinese)
|
| [17] |
俞明帅. 航空发动机模型组态与修正技术研究[D]. 南京: 南京航空航天大学, 2012. Yu Mingshuai. Research on configuration and modification technology of aero-engine model[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2012. (in Chinese
Yu Mingshuai. Research on configuration and modification technology of aero-engine model[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2012. (in Chinese)
|
| [18] |
王佳雯, 黄向华, 嵇润民. 基于特性数据的燃气涡轮发动机修正方法[J]. 航空发动机, 2024, 50(3): 114-121. Wang Jiawen, Huang Xianghua, Ji Runmin. Correction method of component characteristics for gas turbine based on characteristic data[J]. Aeroengine, 2024, 50(3): 114-121. (in Chinese doi: 10.13477/j.cnki.aeroengine.2024.03.017
Wang Jiawen, Huang Xianghua, Ji Runmin. Correction method of component characteristics for gas turbine based on characteristic data[J]. Aeroengine, 2024, 50(3): 114-121. (in Chinese) doi: 10.13477/j.cnki.aeroengine.2024.03.017
|
| [19] |
钟文城, 汪勇, 宋劼, 等. 一种面向航空发动机数学模型的新型修正方法[J]. 航空动力学报, 2023, 38(11): 2776-2784. Zhong Wencheng, Wang Yong, Song Jie, et al. A new correction method for aero-engine mathematical model[J]. Journal of Aerospace Power, 2023, 38(11): 2776-2784. (in Chinese doi: 10.13224/j.cnki.jasp.20220114
Zhong Wencheng, Wang Yong, Song Jie, et al. A new correction method for aero-engine mathematical model[J]. Journal of Aerospace Power, 2023, 38(11): 2776-2784. (in Chinese) doi: 10.13224/j.cnki.jasp.20220114
|
| [20] |
樊巍, 施洋, 曹铭栋, 等. 一种新的航空发动机总体性能稳态模型修正方法[J]. 燃气涡轮试验与研究, 2020, 33(6): 28-31. Fan Wei, Shi Yang, Cao Mingdong, et al. A new aero-engine steady-state performance model modification method[J]. Gas Turbine Experiment and Research, 2020, 33(6): 28-31. (in Chinese
Fan Wei, Shi Yang, Cao Mingdong, et al. A new aero-engine steady-state performance model modification method[J]. Gas Turbine Experiment and Research, 2020, 33(6): 28-31. (in Chinese)
|
| [21] |
郑斐华. 基于系统辨识的航空发动机建模研究[D]. 北京: 中国科学院大学, 2018. Zheng Feihua. Research on aero-engine modeling based on system identification[D]. Beijing: University of Chinese Academy of Sciences, 2018. (in Chinese
Zheng Feihua. Research on aero-engine modeling based on system identification[D]. Beijing: University of Chinese Academy of Sciences, 2018. (in Chinese)
|
| [22] |
陈煜, 黄金泉, 罗启君, 等. 基于遗传算法的涡喷发动机身份证模型建立[J]. 航空发动机, 2015, 41(4): 24-28. Chen Yu, Huang Jinquan, Luo Qijun, et al. Establishment of turbojet engine identification model based on genetic algorithms[J]. Aeroengine, 2015, 41(4): 24-28. (in Chinese
Chen Yu, Huang Jinquan, Luo Qijun, et al. Establishment of turbojet engine identification model based on genetic algorithms[J]. Aeroengine, 2015, 41(4): 24-28. (in Chinese)
|
| [23] |
刘策. 基于智能优化机制的先进民用航空发动机性能模型偏差修正方法研究[D]. 天津: 中国民航大学, 2023. Liu Ce. Research on deviation correction method of advanced civil aeroengine performance model based on intelligent optimization mechanism[D]. Tianjin: Civil Aviation University of China, 2023. (in Chinese
Liu Ce. Research on deviation correction method of advanced civil aeroengine performance model based on intelligent optimization mechanism[D]. Tianjin: Civil Aviation University of China, 2023. (in Chinese)
|
| [24] |
Liu Zuming, Karimi I A. Gas turbine performance prediction via machine learning[J]. Energy, 2020, 192(C):116627 doi: 10.1115/1.0003040v
|
| [25] |
Goyal V, Xu M Y, Kapat J, et al. Prediction of gas turbine performance using machine learning methods[R]. ASME Papaer GT2020-15232, 2020
|
| [26] |
Guan Jin, Wang Xusheng, Lv Xiaojing, et al. Multidimensional analysis and performance prediction of heavy-duty gas turbine based on actual operational data[J]. Applied Thermal Engineering, 2023, 234: 121280. doi: 10.1016/j.applthermaleng.2023.121280
|
| [27] |
Xiao Dasheng, Xiao Hong, Wang Zhanxue. IndRNN-based data-driven modeling integrated with physical knowledge for engine performance monitoring[J]. Journal of Engineering for Gas Turbines and Power, 2025, 147(2): 021012. doi: 10.1115/1.4066292
|
| [28] |
邹泽龙, 黄金泉, 周鑫, 等. VCE身份证动态模型部件特性快速自动修正方法[J]. 航空动力学报, 2024, 39(9): 20220680. Zou Zelong, Huang Jinquan, Zhou Xin, et al. Fast automatic correction method for component characteristics of the identification dynamic model of VCE[J]. Journal of Aerospace Power, 2024, 39(9): 20220680. (in Chinese doi: 10.13224/j.cnki.jasp.20220680
Zou Zelong, Huang Jinquan, Zhou Xin, et al. Fast automatic correction method for component characteristics of the identification dynamic model of VCE[J]. Journal of Aerospace Power, 2024, 39(9): 20220680. (in Chinese) doi: 10.13224/j.cnki.jasp.20220680
|
DownLoad:
