Titan Aerial Research Vehicle for Scientific Exploration

The proposed mono-wing planetary aerial vehicle are small unmanned aircraft with biological inspiration derived from a samara (winged seed). The Titan Aerial Research Vehicle (TARV) mimics the natural aerodynamics of the samara planform and its auto-rotating shape. The TARV will be an exploratory vehicle capable of controlled flight, hover, and repeated takeoff and landing maneuvers on Titan for scientificnbsp;exploration, with a design based on the current Roboseed, an Earth-based mono-wing aerial vehicle designed and operated by our technical collaborator, Aeroseed LLC.Titan presents a unique exploration challenge due to its peculiar environment. With an atmosphere denser than Earthrsquo;s, abundance of liquids, and intriguing surface features, Titan warrants scientific exploration. Titanrsquo;s clouds are condensed methane, which can rain down upon the supercooled surface; and the sky is cloaked in a thick smog-like haze. The atmosphere can exhibit turbulent behavior, and surface temperatures can dip below 100 K. The TARV will be designed to operate in this harsh environment, using Titan environmental models to guide system materials trades, component design, and thermal management.The TARV will be capable of controlled powered or unpowered flight within Titanrsquo;s atmosphere, and will support customizable scientific payloads for significant surface and atmospheric exploration. The rugged design of this planetary aircraft coupled with its ability to maintain precise active and passive flight, hover, land, and takeoff in dynamic, tumultuous conditions presents a versatile solution fornbsp;in-situnbsp;measurement and exploration in dynamic environments like Titan.In Phase I, ASTER Labs will use Titanrsquo;s unique environmental conditions to guide system design, categorize vehicle enhancements to make TARV operational on Titan, determine suitable payloads and integration strategies, and model vehicle flight behaviors via aerodynamic performance modeling and equations of motion characterization.