多发弹气动参数联合辨识方法研究

doi:10.3969/j.issn.1000-1093.2020.05.008

兵工学报 ›› 2020, Vol. 41 ›› Issue (5): 890-901.doi: 10.3969/j.issn.1000-1093.2020.05.008

多发弹气动参数联合辨识方法研究

刘洋¹，常思江¹，魏伟^2,3

(1.南京理工大学能源与动力工程学院, 江苏南京 210094; 2.瞬态冲击技术重点实验室, 北京 102202;3.北京理工大学机电学院, 北京 100081)

收稿日期:2019-06-28 修回日期:2019-06-28 上线日期:2020-07-17
通讯作者: 常思江(1983—)，男，副研究员，硕士生导师，博士 E-mail:changsijiang@126.com
作者简介:刘洋(1995—)，男，硕士研究生。E-mail: cvfour@outlook.com
基金资助:
瞬态冲击技术重点实验室基金项目(6142606183107、614260605011017)

Research on Combined Aerodynamic Parameters Identification Using Flight Data of Multiple Projectiles

LIU Yang¹, CHANG Sijiang¹, WEI Wei^{2, 3}

(1.School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China;2.Science and Technology on Transient Impact Laboratory, Beijing 102202, China;3.School of Mechatronical Engineering， Beijing Institute of Technology, Beijing 100081, China)

Received:2019-06-28 Revised:2019-06-28 Online:2020-07-17

摘要/Abstract

摘要： 利用局部优化算法对多发弹测量数据进行气动参数辨识，可能存在局部最优解，且同一气动参数多发弹的辨识结果有时差异较大。为提高弹丸气动参数辨识的准确性与合理性，提出一种同时利用多发弹测量数据进行联合辨识的全局优化策略。该策略采用局部优化算法获得搜索空间，将弹丸飞行的稳定性条件作为约束条件，利用最小二乘准则构建准则函数，应用差分进化算法对多发弹数据同步全局寻优，从而获得唯一的全局最优解。以某大口径榴弹纸靶试验数据为例对所提方法进行了验证，结果表明：相比于现有的辨识策略，所提策略计算出的准则函数值更小，重构弹道结果与测量值更接近，且计算稳定性较好。

关键词: 大口径榴弹, 联合辨识, 气动参数辨识, 差分进化算法, 全局优化

Abstract: It may run the risk of becoming trapped into a local minimum when local optimization algorithms are used to identify the aerodynamic parameters of multiple projectiles. And the identified results of the same aerodynamic parameter obtained from multiple projectiles are usually discrepant. A global optimization strategy using multiple flight test data for aerodynamic parameters identification is proposed to improve the accuracy and reasonableness of aerodynamic parameters identification for projectiles. A sole global optimal solution can be achieved by obtaining the search space with local optimization algorithm, taking the flight stability of projectiles as the constraint, establishing the cost function by the use of least-square principle, and applying the differential evolution algorithm to the simultaneous global optimization problem for multiple projectiles. The proposed strategy is validated by processing the yaw-card data of a certain large-caliber projectile. The results indicate that, compared to the identification strategies in the current research literature, the proposed strategy is of smaller cost function value and better computational stability, making the reconstructed trajectory closer to the actually measured one.Key

Key words: largecalibergrenade, combinedidentification, aerodynamicparametersidentification, differentialevolution, globaloptimization

中图分类号:

TJ012.3⁺4

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. Research on Combined Aerodynamic Parameters Identification Using Flight Data of Multiple Projectiles[J]. Acta Armamentarii, 2020, 41(5): 890-901.

参考文献

［1］韩子鹏. 弹箭非线性运动理论[M]. 北京理工大学出版社, 2016:1-2.
HAN Z P. Nonlinear motion theory of projectile and rocket[M]. Beijing： Beijing Institute of Technology Press, 2016:1-2. (in Chinese)
[2］ CHAPMAN G T, KIRK D B. A method for extracting aerodynamic coefficients from free-flight data[J]. AIAA Journal, 1970, 8(4):753-758.
[3］ BRADLEY T B. Aerodynamic parameter identification for symmetric projectiles: comparinggradient based and evolutionary algorithms[C]∥Proceedings of AIAA Atmospheric Flight Mechanics Conference.Portland, Oregon,US: AIAA,2011.
[4］ BRADLEY T B. Aerodynamic parameter identification for symmetric projectiles: an improved gradient based method[J]. Aerospace Science and Technology, 2013, 30(1):119-127.
[5］蔡金狮. 飞行器系统辨识[M]. 北京：中国宇航出版社, 1995:249-258.
CAI J S. Identification of aircraft system[M].Beijing: China Astronautic Publishing House, 1995:249-258. (in Chinese)
[6］冯斌, 于纪言, 王钰, 等. 固定鸭舵导引组件修正力模型改进及参数辨识[J]. 兵工学报, 2019,40(2):257-264.
FENG B, YU J Y, WANG Y, et al. Improvement and parameter identification of correction force model for fixed-canard guidance kit[J].Acta Armamentarii,2019,40(2):257-264. (in Chinese)
[7］赵亚男, 钱杏芳. 反坦克导弹气动参数辨识的最大似然法[J]. 兵工学报, 1991,12(4):13-21.
ZHAO Y N, QIAN X F. Maximum likelihood method for aerodynamic parameter identification of anti-tank missile[J]. Acta Armamentarii,1991,12(4):13-21. (in Chinese)
[8］崔平远,杨涤.极大似然法及在有控飞行器气动参数辨识中的应用[J]. 航空学报,1991,12(11):A644-A649.
CUI P Y, YANG D. Maximum likelihood algorithm and its application to parameters identification[J]. Acta Aeronautica et Astronautica Sinica,1991,12(11):A644-A649. (in Chinese)

[9］ MORELLI E A, KLEIN V. Determining the accuracy of maximum likelihood parameter estimates with colored residuals: NASA CR 194893[R]. Hampton,Virginia,US:NASA,1994.

[10］管军, 周家胜, 易文俊, 等.基于自适应混沌变异粒子群优化算法的旋转弹丸气动参数辨识[J]. 兵工学报, 2017,38(1): 76-83.
GUAN J, ZHOU J S, YI W J, et al. Identification of spinning projectile aerodynamic parameters using adaptive chaotic mutation particle swarm optimization[J]. Acta Armamentarii,2017,38(1): 76-83. (in Chinese)
[11］亓国栋, 于剑桥, 陈方正, 等．基于飞行试验的无人机气动参数辨识[J]．弹箭与制导学报, 2019, 39(2): 144-146.
QI G D, YU J Q, CHEN F Z, et al. Aerodynamic parameter identification for UAV based on flight test[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2019, 39(2): 144-146. (in Chinese)
[12］闫雪梅, 文艳, 武满宏, 等.地炮榴弹射表编拟方法:GJB 7915— 2012 [S].北京：中国人民解放军总装备部,2012.
YAN X M, WEN Y, WU M H, et al. The production method of firing table for high explosive shell of ground artillery:GJB 7915—2012 [S]. Beijing: General Armament Department of PLA, 2012. (in Chinese)
[13］武满宏, 苟上会, 闫雪梅, 等. 野战火箭射表编拟方法:GJB 7912— 2012[S].北京：中国人民解放军总装备部,2012.
WU M H, GOU S H, YAN X M, et al.The production method of firing tables for field rocket: GJB 7912—2012 [S]. Beijing: General Armament Department of PLA, 2012. (in Chinese)
[14］ ALBISSER M, DOBRE S, BERNER C, 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.
[15］ MATTHEW G, MARK C. Smart projectile parameter estimation using meta-optimization[J]. Journal of Spacecraft and Rockets, 2019, 56(5): 1508-1519.
[16］ PRICE K V, STORN R M, LAMPINEN J A. Differential evolution: a practical approach to global optimization[M].New York, NY,US: Springer, 2005:88.
[17］ RUTENBAR R A. Simulated annealing algorithms: an overview[J]. Circuits and Devices Magazine, 1989, 5(1):19-26.
[18］韩子鹏. 弹箭外弹道学[M]. 北京: 北京理工大学出版社,2014:165-170.
HAN Z P. Exterior ballistics of projectile and rocket [M].Beijing:Beijing Institute of Technology Press, 2014:165-170. (in Chinese)
[19］闫章更, 祁载康. 射表技术[M]. 北京:国防工业出版社,2000: 169.
YAN Z G, QI Z K. Firing table technology[M]. Beijing: National Defense Industry Press, 2000: 169. (in Chinese)

第41卷第5期2020 年5月
兵工学报ACTA ARMAMENTARII
Vol.41No.5May2020

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多发弹气动参数联合辨识方法研究

Research on Combined Aerodynamic Parameters Identification Using Flight Data of Multiple Projectiles

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