Inicio  /  Aerospace  /  Vol: 11 Par: 3 (2024)  /  Artículo
ARTÍCULO
TITULO

Comparison of Two Aerodynamic Models for Projectile Trajectory Simulation

Nezar Sahbon and Michal Welcer    

Resumen

The accuracy of aerodynamically controlled guided projectile simulations is largely determined by the aerodynamic model employed in flight simulations which impacts vehicle interaction with the surrounding air. In this work, the performance of projectile path following with two distinct aerodynamic models is examined for their possible influence on trajectory following accuracy. The study incorporates the path following guidance algorithm, which enables the object to navigate along a predefined path. The simulation mathematical model is developed in the MATLAB/Simulink environment. In addition, by integrating the path-following algorithm with the two aerodynamic models, the dynamic behaviour of the aerodynamically controlled projectile can be compared. This allows for a more comprehensive analysis of the trajectory and the effects of each model on the desired flight path. Further research can explore the differences between the two models in greater detail and quantify their impact on unmanned projectile trajectory predictions, in addition to further exploring the specific characteristics and limitations of each model. This will involve analysing their assumptions, computational methods, and inputs to identify potential sources of error or uncertainty in the simulations. Moreover, these results have important implications for the design of aerodynamically controlled projectiles as well as a deeper understanding of aerodynamic mathematical modelling in flight simulation.

 Artículos similares

       
 
Brianna LeFebre, Phil Saye and James S. Henkel    
Coral reef rehabilitation in the Caribbean is of major ecological and economic importance in the West Indies. Local organizations in Grenada constructed a cement pyramid artificial reef structure with rugosity (termed ?The Pyramid?) and placed a number o... ver más

 
Hyeon-Kyu Noh and Hong-June Park    
A convolutional neural network (CNN) transducer decoder was proposed to reduce the decoding time of an end-to-end automatic speech recognition (ASR) system while maintaining accuracy. The CNN of 177 k parameters and a kernel size of 6 generates the proba... ver más
Revista: Applied Sciences

 
Kamal Rsetam, Yusai Zheng, Zhenwei Cao and Zhihong Man    
In this paper, an adaptive active disturbance rejection control is newly designed for precise angular steering position tracking of the uncertain and nonlinear SBW system with time delay communications. The proposed adaptive active disturbance rejection ... ver más

 
Joana Carneiro, Dália Loureiro, Marta Cabral and Dídia Covas    
This paper presents and demonstrates a novel scenario-building methodology that integrates contextual and future time uncertainty into the performance assessment of water distribution networks (WDNs). A three-step approach is proposed: (i) System context... ver más
Revista: Water

 
Xiaomin Liu, Kezhi Wang, Tingxi Liu and Wenguang Wang    
Excessive sedimentation in sand-laden rivers significantly hinders the normal operation and overall effectiveness of reservoirs. This is observed particularly in plain-type sand-laden reservoirs where weak hydraulic conditions in the reservoir area contr... ver más
Revista: Water