The Constraint analysis method is applied in the early stages of aircraft conceptual design for determining preliminary sizing parameters such as wing loading and power loading. However, its application to small UAVs is challenged by uncertainties in several key input parameters, particularly those that require detailed geometric or aerodynamic information that is typically unavailable during the early design stages. To help designers to identify which parameters demand precise specification and which have negligible impact, a global sensitivity analysis was conducted. This allowed us to quantify the influence of each design parameter on constraint analysis outputs and classify them based on their influence. The results identify several dominant parameters. While some are predefined, the zero-lift drag coefficient requires detailed aerodynamic data that is unavailable early in design. To address this, we propose using parasite drag estimation method, adapted for small UAVs through the use of UAV-specific wetted-area ratios. A parametric study of stall speed shows that both power loading and wing loading exhibit a local maximum, suggesting that stall speed can be treated as a trade off parameter rather than a fixed requirement. For UAV designers, this work provides: (1) a sensitivity framework for constraint analysis, and (2) practical methods for selecting appropriate values for drag coefficient and stall speed during the early design stages.
It is noted that in agriculture, fixed-wing unmanned aircraft systems successfully perform the tasks of crop monitoring, pest and disease detection across large areas remote from the operator. Further improvements in unmanned aircraft speed, flight range, and payload capacity can be achieved by reducing aerodynamic dra...
P. A. Averichkin, D. Gritsay, P. I. Chumak· Agricultural Machinery and T...· 0 citations
Designing a statically stable flying-wing UAV glider is a highly nonlinear problem in which small geometric changes cause large shifts in stability and performance. While prior work has applied gradient-based and gradient-free methods to flying-wing aerodynamic optimization, most approaches lack direct parametric C...
Simon Grimm, E. Price, Aamir Ahmad· Aerospace Systems· 0 citations
During hover, DEP unmanned aerial vehicles (UAVs) suffer severe aerodynamic interference between rotor downwash and the wing, causing thrust loss. High-fidelity CFD can capture the interference physics but is too costly for iterative design. Existing reduced-order models (ROMs) are fast, but their predictions of wing d...
Lan Yang, Xing Wang, Dong Wang et al.· Drones· 0 citations
The purpose of this study is to design, analyse, fabricate and validate a fixed-wing UAV for stable low-speed flight, payload carriage and controlled in-flight deployment. It aims to achieve aerodynamic efficiency, structural safety, stability and practical manufacturability for short-range logistics, surveillance...
Aditya Sivaraman, A. Ansari, Aqleem Siddiqui et al.· International Journal of Int...· 1 citation
For the wingtip-connected combined UAV considered here, the proposed constraint-based assessment demonstrates that the clearance margin changes sign between the sampled 5° and 6° angles of attack, thereby bracketing the clearance transition within this interval. This study presents a deterministic, constraint-based ass...
This paper presents the development and validation of a comprehensive mathematical model for a Miniclass unmanned aerial vehicle (UAV), optimized for highfidelity flight dynamics simulation and the design of intelligent control systems. The model provides a rigorous analytical description of aerodynamic forces and mome...
O. Volkov, M. Komar, Ihor Popov et al.· Automation, Control, and Inf...· 0 citations
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