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

doi:10.3969/j.issn.1000-1093.2020.05.008

Abstract

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

CLC Number:

TJ012.3⁺4

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.

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

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