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http://dx.doi.org/10.12673/jant.2021.25.1.1

Research on Pilot Decision Model for the Fast-Time Simulation of UAS Operation  

Park, Seung-Hyun (Department of Aerospace Engineering, Inha University)
Lee, Hyeonwoong (Department of Aerospace Engineering, Inha University)
Lee, Hak-Tae (Department of Aerospace Engineering, Inha University)
Publication Information
Journal of Advanced Navigation Technology / v.25, no.1, 2021 , pp. 1-7 More about this Journal
Abstract
Detect and avoid (DAA) system, which is essential for the operation of UAS, detects intruding aircraft and offers the ranges of turn and climb/descent maneuver that are required to avoid the intruder. This paper uses detect and avoid alerting logic for unmanned systems (DAIDALUS) developed at NASA as a DAA algorithm. Since DAIDALUS offers ranges of avoidance maneuvers, the actual avoidance maneuver must be decided by the UAS pilot as well as the timing and method of returning to the original route. It can be readily used in real-time human-in-the-loop (HiTL) simulations where a human pilot is making the decision, but a pilot decision model is required in fast-time simulations that proceed without human pilot intervention. This paper proposes a pilot decision model that maneuvers the aircraft based on the DAIDALUS avoidance maneuver range. A series of tests were conducted using test vectors from radio technical commission for aeronautics (RTCA) minimum operational performance standards (MOPS). The alert levels differed by the types of encounters, but loss of well clear (LoWC) was avoided. This model will be useful in fast-time simulation of high-volume traffic involving UAS.
Keywords
Automatic detect and avoid system; Pilot decision model; DAIDALUS; UAS; UAV;
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