Abstract
This paper investigates unmanned aircraft guidance for a severe storm penetrator in order to assess the feasibility of such a mission and to optimize ingress/egress in terms of flight time and exposure to precipitation. Understanding guidance-layer behavior and deriving optimal control strategies will provide tools for developing mission-level concepts of operation and for making vehicle design tradeos. A backward propagating wavefront algorithm based on ordered upwind methods is developed for guidance-layer planning of severe storm penetration. Target areas for investigation by the aircraft are identified within simulated storm wind, hail, and precipitation data. The simulated data is used to determine the feasibility of storm penetration to the points of interest, along with calculating airframe exposure to precipitation. Intelligent ingress is also considered for a dynamic wind field using a receding horizon control approach to adapt the flight path in response to environmental changes.
Published Version
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