This paper describes the development of an unmanned aerial vehicle's conceptual design environment. A review of current unmanned aerial vehicle design challenges is conducted, which leads to the description of the desired capabilities for the environment. The key characteristics of the design environment include the capability of integrating variable fidelity, modular, and flexible disciplinary analysis tools. The environment is tested against available data from the AeroVironment Pathfinder Plus vehicle. In addition to the Pathfinder Plus mission analysis, aerodynamics, propulsion, and structures performance results are discussed and then applied to a hurricane-tracker mission. This case study demonstrates the environment's capability to perform and explore new types of missions. A further exploration of the Pathfinder Plus design space is conducted using response surface methodology. This investigation provides valuable information regarding design tradeoffs, which are essential for the selection of a final vehicle architecture.
Nomenclature
AR= wing aspect ratioairfoil maximum lift coefficient D = vehicle drag, N ezV = electrolyzer voltage, V E ez = solar energy consumed to power the electrolyzer, W E ez = energy consumed by the electrolyzer per mass of hydrogen, W=kg E fc = total fuel cell energy production, W E fc = energy produced by the fuel cell per mass of hydrogen, W=kg E solar = solar energy consumed to power the vehicle, W E total = total energy consumed to power the vehicle, W fcV = fuel cell voltage, V Kv = voltage constant kgH2 = mass of hydrogen, kg m prop = total propulsion system mass, kg n days = number of days the vehicle flew S = wing planform area, m 2 sa eff = solar cell efficiency T A = thrust available, N R = response of the response surface equation V = vehicle velocity, m=s W i = vehicle actual weight, N Wpld = payload mass, kg x i = design variable of the response surface equation = coefficients of the response surface equation ez = electrolyzer efficiency