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Volume 54 Issue 3
Mar.  2022
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Wang Qinchao, Li Shichao, Gao Hongli, Ma Guilin, Wu Guang, Duan Zhiqin. Research on intelligent identification algorithms for short-term aerodynamics of hypersonic wind tunnels. Chinese Journal of Theoretical and Applied Mechanics, 2022, 54(3): 688-696. DOI: 10.6052/0459-1879-21-484
Citation: Wang Qinchao, Li Shichao, Gao Hongli, Ma Guilin, Wu Guang, Duan Zhiqin. Research on intelligent identification algorithms for short-term aerodynamics of hypersonic wind tunnels. Chinese Journal of Theoretical and Applied Mechanics, 2022, 54(3): 688-696. DOI: 10.6052/0459-1879-21-484
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RESEARCH ON INTELLIGENT IDENTIFICATION ALGORITHMS FOR SHORT-TERM AERODYNAMICS OF HYPERSONIC WIND TUNNELS

  • School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China

  • Received Date: September 18, 2021
  • Accepted Date: January 06, 2022
  • Available Online: January 07, 2022
    Graphical Abstract
    • Abstract
  • Pulse combustion wind tunnel force measurement is an important step in the research and development process of hypersonic aircraft, and with the development of hypersonic aircraft technology, large-scale and heavy-load aircraft test models has become the trend of hypersonic pulse combustion wind force test. During the effective test time of several hundred milliseconds, large-scale force measurement system stiffness weakened and other issues will seriously lead to poor aerodynamic identification accuracy. The large-scale measurement model poses a challenge to the accurate aerodynamic identification of the short-term pulse combustion wind tunnel. To solve this problem, a new intelligent aerodynamic identification algorithm based on traditional signal processing combined with deep learning is presented in this paper. The algorithm framework is mainly divided into two stages for signal processing: (1) signal decomposition, (2) data training. In the signal decomposition stage, the original data is decomposed into different modal sub-signals through variational modal decomposition (VMD). In the training stage, the effective features in the remaining datasets containing characteristic sub-signals are extracted by deep learning model, and the real aerodynamic signals are obtained. In addition, in order to enhance the robustness and applicability of the algorithm, different optimization methods are used to optimize the hyperparameters in the algorithm at different stages of the algorithm framework to obtain the optimal parameter combination. This algorithm model has obtained relatively ideal results in terms of aerodynamic recognition accuracy and anti-interference. Finally, the algorithm is validated on a suspended force test bench, and the results show that the algorithm model can effectively identify and filter out the interference components that are difficult to eliminate by the traditional methods brought by the large-scale model. Finally, the algorithm is successfully applied to the large scale model force measurement system of pulse combustion wind tunnel. Accuracy of aerodynamic identification of large-scale model force measurement system is effectively improved.
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    • References (31)
  • [1]
    Squire LC. A review of the role of some small high-speed wind tunnels in aeronautical research. Progress in Aerospace Sciences, 1998, 34(3-4): 107-166 doi: 10.1016/S0376-0421(98)00001-3
    [2]
    Wiriadidjaja S, Hasim F, Mansor S, et al. Subsonic wind tunnels in Malaysia: A review. Applied Mechanics and Materials, 2012, 225: 566-571
    [3]
    乐嘉陵, 刘伟雄, 贺伟等. 脉冲燃烧风洞及其在火箭和超燃发动机研究中的应用. 实验流体力学, 2005, 1: 1-10 (Le Jialing, Liu Weixiong, He Wei, et al. Impulse combustion wind tunnel and its application in rocket and scramjet research. Journal of Experiments in Fluid Mechanics, 2005, 1: 1-10 (in Chinese) doi: 10.3969/j.issn.1672-9897.2005.01.001
    [4]
    刘伟雄, 谭宇, 毛雄兵等. 一种新运行方式脉冲燃烧风洞研制及初步应用. 实验流体力学, 2007, 21(4): 59-64 (Liu Weixiong, Tan Yu, Mao Xiongbin, et al. The development and preliminary application of a pulse combustion wind tunnel with new running way. Journal of Experiments in Fluid Mechanics, 2007, 21(4): 59-64 (in Chinese) doi: 10.3969/j.issn.1672-9897.2007.04.013
    [5]
    程忠宇, 陈宏, 张琦. 多加速度计振动分离惯性补偿测力技术. 实验流体力学, 1999, 13(4): 57-61 (Cheng Zhongyu, Cheng Hong, Zhang Qi. Inertia compensation technology based on multi-accelerometer vibration separating. Experiments in Fluid Mechanics, 1999, 13(4): 57-61 (in Chinese)
    [6]
    Joshi MV, Reddy NM. Aerodynamic force measurements over missile configurations in IISc shock tunnel at M∞ = 5.5. Experiments in Fluids, 1986, 4(6): 338-340 doi: 10.1007/BF00266300
    [7]
    Menezes V, Saravanan S, Reddy K. Shock tunnel study of spiked aerodynamic bodies flying at hypersonic Mach numbers. Shock Waves, 2002, 12(3): 197-204 doi: 10.1007/s00193-002-0160-3
    [8]
    Sahoo N, Mahapatra DR, Jagadeesh G, et al. An accelerometer balance system for measurement of aerodynamic force coefficients over blunt bodies in a hypersonic shock tunnel. Measurement Science & Technology, 2003, 14(3): 260
    [9]
    Abdel-Jawad MM, Mee DJ, Morgan RG. New calibration technique for multiple-component stress wave force balances. Review of Scientific Instruments, 2007, 78(6): 670
    [10]
    Smith AL, Mee DJ, Daniel W. Design, modeling and analysis of a six-component force balance for hypervelocity wind tunnel testing. Computers & Structures, 2001, 79(11): 1077-1088
    [11]
    Wang Y, Liu Y, Luo C, et al. Force measurement using the strain-gauge balance in a shock tunnel with long test duration. Review of Scientific Instruments, 2016, 87(5): 1068
    [12]
    Wang Y, Liu Y, Jiang Z. Design of a pulse-type strain gauge balance for a long-test-duration hypersonic shock tunnel. Shock Waves, 2016, 26(6): 1-10
    [13]
    Li S, Li K, Liu B, et al. A new dynamic modeling methodology of a force measuring system for hypersonic impulse wind tunnel. Measurement, 2020, 164: 108012 doi: 10.1016/j.measurement.2020.108012
    [14]
    Li S, You Z, Gao H, et al. Force measurement and support integrated device in hypersonic wind tunnel. IEEE Transactions on Instrumentation and Measurement, 2021, doi: 10.1109/TIM.2021.3129495
    [15]
    Mizuno T, Ishino Y, Takasaki M. Fabrication of a three-dimensional force measurement system using double series magnetic suspension. IFAC Paper-Sonline, 2016, 49(21): 536-540 doi: 10.1016/j.ifacol.2016.10.657
    [16]
    Laurence S, Schramm JM, Hannemann K. Force and moment measurements on a free-flying capsule model in a high-enthalpy shock tunnel//28th Aerodynamic Measurement Technology, Ground Testing, and Flight Testing Conference. New Orleans, LA, USA, June 2012, AIAA 2012-2861
    [17]
    王锋, 任虎, 周正等. 载荷辨识方法用于脉冲风洞模型阻力测量研究. 振动与冲击, 2015, 24: 202-208 (Wang Feng, Ren Hu, Zhou Zheng, et al. Drag force measurement in impulse facilities by using load identification method. Journal of Vibration and Shock, 2015, 24: 202-208 (in Chinese)
    [18]
    王锋, 武龙, 张小庆等. 动态载荷辨识问题的正则化求解新方法. 振动工程学报, 2016, 29(1): 31-37 (Wang Feng, Wu Long, Zhang Xiaoqing, et al. A technique for solving dynamical force identification problems by Tikhonov regularization method. Journal of Vibration Engineering, 2016, 29(1): 31-37 (in Chinese)
    [19]
    汪运鹏, 杨瑞鑫, 聂少军等. 基于深度学习技术的激波风洞智能测力系统研究. 力学学报, 2020, 52(5): 11 (Wang Yunpeng, Yang Ruixin, Nie Shaojun, et al. Deep-learning-based intelligent force measurement system using in a shock tunnel. Chinese Journal of Theoretical and Applied Mechanics, 2020, 52(5): 11 (in Chinese)
    [20]
    Luo C, Wang Y, Wang C, et al. Wave system fitting: A new method for force measurements in shock tunnels with long test duration. Mechanical Systems and Signal Processing, 2015, 62-63: 296-304
    [21]
    吴子牛, 白晨媛, 李娟等. 高超声速飞行器流动特征分析. 航空学报, 2015, 36(1): 58-85 (Wu Ziniu, Bai Chenjuan, Li Juan, et al. Analysis of flow characteristics for hypersonic vehicle. Acta Aeronautica et Astronautica Sinica, 2015, 36(1): 58-85 (in Chinese)
    [22]
    Mee DJ. Dynamic calibration of force balances. Shock Waves, 2003, 12(6): 443-455 doi: 10.1007/s00193-003-0181-6
    [23]
    Dragomiretskiy K, Zosso D. Variational mode decomposition. IEEE Transactions on Signal Processing, 2014, 62(3): 531-544 doi: 10.1109/TSP.2013.2288675
    [24]
    Cohen J. Statistical power analysis for the behavioral sciences. Computers, Environment and Urban Systems, 1990, 14(1): 71
    [25]
    Lecun Y, Bengio Y, Hinton G. Deep learning. Nature, 2015, 521(7553): 436 doi: 10.1038/nature14539
    [26]
    Liu W, Wang Z, Liu X, et al. A survey of deep neural network architectures and their applications. Neurocomputing, 2017, 234(19): 11-26
    [27]
    Levent E. Bearing fault detection by one-dimensional convolutional neural networks. Mathematical Problems in Engineering, 2017, 2017: 1-9
    [28]
    Hochreiter S, Schmidhuber J. Long short-term memory. Neural Computation, 1997, 9(8): 1735-1780 doi: 10.1162/neco.1997.9.8.1735
    [29]
    Afrasiabi M, Mohammadi M, Rastegar M, et al. Advanced deep learning approach for probabilistic wind speed forecasting. IEEE Transactions on Industrial Informatics, 2020, 99: 1-10
    [30]
    Dobbin KK, Zhao Y, Simon RM, et al. How large a training set is needed to develop a classifier for microarray data? Clinical Cancer Research, 2008, 14(1): 108-114
    [31]
    Figueroa RL, Zeng-Treitler Q, Kandula S, et al. Predicting sample size required for classification performance. BMC Medical Informatics and Decision Making, 2012, 12(1): 8 doi: 10.1186/1472-6947-12-8
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