Abstract
Recently, interest in mission autonomy related to Unmanned Combat Aerial Vehicles(UCAVs) for performing highly dangerous Air-to-Surface Missions(ASMs) has been increasing. Regarding autonomous mission planners, studies currently being conducted in this field have been mainly focused on creating a path from a macroscopic 2D environment to a dense target area or proposing a route for intercepting a target. For further improvement, this paper treats a mission planning algorithm on an ASM which can plan the path to the target dense area in consideration of threats spread in a 3D terrain environment while planning the shortest path to intercept multiple targets. To do so, ASMs are considered three sequential mission elements: ingress, intercept, and egress. The ingress and egress elements require a terrain flight path to penetrate deep into the enemy territory. Thus, the proposed terrain flight path planner generates a nap-of-the-earth path to avoid detection by enemy radar while avoiding enemy air defense threats. In the intercept element, the shortest intercept path planner based on the Dubins path concept combined with nonlinear programming is developed to minimize exposure time for survivability. Finally, the integrated ASM planner is applied to several mission scenarios and validated by simulations using a rotorcraft model.
Highlights
Air-to-surface missions (ASMs) are becoming increasingly dangerous in modern warfare, where the successful performance of ASMs is strategically important
Yeonju Eun et al [2] proposed a path planner which combines the Voronoi-diagram concept and potential field concept to address this issue for Suppression to Enemy Air Defenses(SEAD) mission planning
ASMs were considered to consist of three sequential mission elements
Summary
Air-to-surface missions (ASMs) are becoming increasingly dangerous in modern warfare, where the successful performance of ASMs is strategically important. Yeonju Eun et al [2] proposed a path planner which combines the Voronoi-diagram concept and potential field concept to address this issue for Suppression to Enemy Air Defenses(SEAD) mission planning. Several path planners using Dubins path concept for target intercept were proposed [4,5,6] These approaches have the advantage of being able to consider the dynamic constraints of aircraft and generate an optimal path. Since the targets of AI missions are usually within enemy territory, the number of interspersed threats within the mission environment is likely to be greater than that of CAS missions These ASMs have in common that they basically perform consecutive mission elements of ingress, intercept, and egress. Stieocntisonon, Tthhee pinrtoepgorasteedd smceisnsaiorinops.laFnunretrhiesrvmaolirdea, tseidmtuhrlaotuiognhsapaprelicpaetriofonrsmonedthuespinrogpaosreodstcoerncraarfitoms. oFduerlthtoertmraockret,hseimgeunlaetriaotneds atraejepcetrofroirems. eSdecutisoing7aprotvoirdcersaftthme iomdpeol rttoatnrtadckettahiles gaennderaantaeldystirsajoefctohreierse.suSeltcstiaorne 7supmromvaidriezsetdheinimthpeocrotanncltudseiotani.ls and analysis of the results are summarized in the conclusion
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