Optimizing drone design through tradespace analysis and multi-objective optimization with modeFRONTIER

Tradespace analysis is a vital approach in engineering design, enabling data-driven decision-making by exploring a wide range of design alternatives. This study utilizes modeFRONTIER to perform a comprehensive tradespace analysis for a drone, evaluating key trade-offs across performance, cost, and design considerations. By optimizing parameters such as aerodynamics, weight, propulsion efficiency, and battery endurance, the study aims to achieve an optimal balance between competing objectives, including flight time, payload capacity, and maneuverability. Additionally, a detailed sensitivity analysis is conducted to assess the dependency and effects of input parameters on output performance, providing deeper insights into design influences. The integration of multi-objective optimization techniques allows for the identification of the most efficient design solutions, guiding the selection of an optimal drone configuration that aligns with mission-specific requirements.