Wind Identification of Spinning Projectile Using Improved Multiobjective Differential Evolution Algorithm

Wind velocity has an important influence on the ballistic characteristics of uncontrolled projectiles. It is difficult to precisely determine the projectile’s impact position if wind velocity information from the projectile’s flight process cannot be collected. A wind velocity identification techniq...

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Bibliographic Details
Published inInternational Journal of Aerospace Engineering Vol. 2022; pp. 1 - 13
Main Authors Zhang, Dingye, Guan, Jun, Yi, Wenjun, Xia, Youran, Wang, Kangjian
Format Journal Article
LanguageEnglish
Published New York Hindawi 12.09.2022
John Wiley & Sons, Inc
Hindawi Limited
Subjects
Accuracy
Adaptive algorithms
Aerodynamic characteristics
Aerodynamics
Algorithms
Coordinates
Equilibrium
Evolutionary algorithms
Evolutionary computation
Identification
Kinematics
Laws, regulations and rules
Navigation systems
Projectiles
Sensors
Simulation
Tidal waves
Velocity
Wind speed
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Summary:Wind velocity has an important influence on the ballistic characteristics of uncontrolled projectiles. It is difficult to precisely determine the projectile’s impact position if wind velocity information from the projectile’s flight process cannot be collected. A wind velocity identification technique of spinning projectile based on the multiobjective chaotic adaptive differential evolution algorithm is suggested to increase the estimation accuracy of wind velocity and ballistic prediction accuracy during projectile flight. The variation law of projectile aerodynamic characteristics under no wind situation is calculated using the 4D kinematic model of spinning projectile. Three aerodynamic parameter coefficients are chosen as reference variables, three objective functions are defined by mean square error, and the two components of wind velocity along the ground coordinate system are used as decision variables in the identification process. The study identifies the two components, which is based on the multiobjective chaotic adaptive differential evolution algorithm. Several groups of wind velocity identification under constant and variable wind conditions are numerically simulated. The results show that the suggested method can estimate wind velocity effectively and precisely throughout the flight of spinning projectile.
ISSN:1687-5966
1687-5974
DOI:10.1155/2022/9726595