|
|
论文:2023,Vol:41,Issue(2):282-292 |
|
|
引用本文： |
|
|
刘洋, 李春娜, 方远, 龚春林. 适用于部分试验数据缺失的气动参数辨识方法[J]. 西北工业大学学报 |
|
|
LIU Yang, LI Chunna, FANG Yuan, GONG Chunlin. A combined aerodynamic parameter identification method for missing test data[J]. Journal of Northwestern Polytechnical University |
|
|
|
|
|
|
|
| 适用于部分试验数据缺失的气动参数辨识方法 |
|
| 刘洋, 李春娜, 方远, 龚春林 |
|
| 西北工业大学 航天学院, 陕西 西安 710072 |
| 摘要: |
| 为解决试验中部分数据缺失或难以测量的问题,提出了一种适用于部分试验数据缺失的气动参数联合辨识方法。该方法将气动参数辨识问题转为优化问题,以飞行状态初值和气动参数插值表为设计变量,使用包含全部气动参数的弹道模型,构建包含多条数据的目标函数。优化中以气动参数数据库和现有方法辨识结果为先验知识,拟合出未测量数据的初值作为基准值,设计了可行样本选取方法,利用差分进化算法进行求解。应用所提方法处理264条试验数据,结果表明相比于现有气动参数辨识方法,所提方法能辨识全部气动参数,准确度更高,且能反算出未测量的飞行试验数据,具有实际工程意义。 |
| 关键词:
气动参数辨识
联合辨识方法
试验数据缺失
差分进化算法
全局优化
|
|
| A combined aerodynamic parameter identification method for missing test data |
|
| LIU Yang, LI Chunna, FANG Yuan, GONG Chunlin |
|
| School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| In order to solve the problem that some test data cannot be measured or the measurement is difficult, a combined aerodynamic parameters identification method for missing test data is proposed. In this method, the aerodynamic parameter identification problem is modified into an optimization problem. The initial value of the flight state and the aerodynamic parameter interpolation table are used as design variables, and the motion equation of the aircraft including all aerodynamic parameters is used as a model to construct an objective function containing multiple pieces of test data information. In the optimization, the aerodynamic parameter database and the identification results of the existing methods are used as the prior knowledge. The initial value of the unmeasured data is fitted as the reference value. Then, the feasible sample selection method is designed. Finally, the differential evolution algorithm is used to solve the problem. The proposed method is used to process 264 pieces of test data, and the results show that compared with the existing aerodynamic parameter identification methods, the proposed identification method can obtain all aerodynamic parameters with higher accuracy and can inversely calculate and obtain unmeasured flight test data practical engineering significance. |
| Key words:
aerodynamic parameter identification
combined identification method
missing test data
differential evolution algorithm
global optimization
|
|
| 收稿日期: 2022-06-10
修回日期:
|
| DOI: 10.1051/jnwpu/20234120282 |
| 基金项目: 自然科学基金"叶企孙"科学基金(U2141254)资助 |
| 通讯作者: 李春娜(1982-),西北工业大学副教授,主要从事气动优化、总体设计研究。e-mail:chunnali@nwpu.edu.cn
Email：chunnali@nwpu.edu.cn |
| 作者简介: 刘洋(1995-),西北工业大学博士研究生,主要从事气动优化、总体设计研究。
|
|
| 相关功能 |
|
|
|
|
| 作者相关文章 |
|
| 刘洋 在本刊中的所有文章 |
| 李春娜 在本刊中的所有文章 |
| 方远 在本刊中的所有文章 |
| 龚春林 在本刊中的所有文章 |
|
|
|
|
|
|
|
|
参考文献: |
|
|
[1] 蔡金狮. 飞行器系统辨识[M]. 北京:中国宇航出版社, 1995:2-5 CAI Jinshi. Aircraft system identification[M]. Beijing:China Astronautic Publishing House, 1995:2-5 (in Chinese)
[2] MATTHEW G, MARK C. Smart projectile parameter estimation using meta-optimization[J]. Journal of Spacecraft & Rockets, 2019, 56(5):1508-1519
[3] 邵干, 张曙光, 唐鹏. 小型无人机气动参数辨识的新型HGAPSO算法[J]. 航空学报, 2017, 38(4):120365 SHAO Gan, ZHANG Shuguang, TANG Peng. HGAPSO:a new aerodynamic parameters identification algorithm for small unmanned aerial vehicles[J]. Acta Aeronauticaet Astronautica Sinica, 2017, 38(4):120365 (in Chinese)
[4] GAO B B, GAO S S, HU G G, et al. Maximum likelihood principle and moving horizon estimation based adaptive unscented Kalman filter[J]. Aerospace Science and Technology, 2018, 73:184-196
[5] JOAO O, CHU Q P, MULDER J A, et al. Output error method and two step method for aerodynamic model identification[C]//AIAA Guidance, Navigation, and Control Conference and Exhibit, San Francisco, 2005
[6] 丁娣, 钱炜祺, 汪清. 飞机操稳特性大导数辨识及随机噪声影响分析[J]. 航空学报, 2015, 36(7):2177-2185 DING Di, QIAN Weiqi, WANG Qing. Identification of aircraft stability and control characteristics derivatives and analysis of random noise[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(7):2177-2185 (in Chinese)
[7] FRANK F, BERNARD G, ILMARS C, et al. Flight behavior of an asymmetric body through spark range experiments using roll-yaw resonance for yaw enhancement[J]. Journal of Spacecraft and Rocket, 2015, 54(1):266-277
[8] KAR P K, SARKAR A K, UMAKANT J. Aerodynamic coefficients estimation of a flight vehicle from different flight trials under limited measurements[C]//AIAA Atmospheric Flight Mechanics Conference, Portland, 2011
[9] MARIE A, SIMONA D, CLAUDE B, et al. Aerodynamic coefficient identification of a space vehicle from multiple free-flight tests[J]. Journal of Spacecraft and Rockets, 2017, 54(2):1-10
[10] BRADLEY T B. Aerodynamic parameter identification for symmetric projectiles:an improved gradient based method[J]. Aerospace Science and Technology, 2013, 30:119-127
[11] 刘洋, 常思江, 魏伟. 多发弹气动参数联合辨识方法研究[J]. 兵工学报, 2020, 41(5):890-901 LIU Yang, CHANG Sijiang, WEI Wei. Study on combined aerodynamic parameters identification using flight data of multiple projectiles[J]. Acta Armamentarii, 2020, 41(5):890-901 (in Chinese)
[12] EUGENE A M. Real-time aerodynamic parameter estimation without air flow angle measurements[J]//Journal of Aircraft, 2012, 49(4):1064-1076
[13] ARDA A. Aerodynamic parameter estimation of a missile without wind angle measurements[C]//AIAA Atmospheric Flight Mechanics Conference, Atlanta, 2014
[14] 刘洋. 高速旋转弹丸气动参数辨识方法研究[D]. 南京:南京理工大学, 2020 LIU Yang. Study on Aerodynamic parameters identification of high-spin-stabilized projectile[D]. Nanjing:Nanjing University of Science and Technology, 2020 (in Chinese)
[15] DAWID M, MARIE A, SIMONA D. Global sensitivity analysis for modeling the free-flight behavior of an artillery projectile[J]. AIAA Journal, 2020, 58(7):3139-3148
[16] 李金晟, 庄凌, 宋加洪, 等. 适用于工程数据的飞行器气动特性修正框架[J]. 航空学报, 2021, 42(12):125157 LI Jinsheng, ZHUANG Ling, SONG Jiahong, et al. Aerocraft aerodynamic characteristic correction framework for engineering data[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42(12):125157 (in Chinese)
[17] MCCOY R L. Modern exterior ballistics[M]. Atglen, PA:Schiffer Publishing Ltd, 2012 |
|
|
|
|
|
|
|
