06.1 - Flight Dynamics and Control (Control & Modelling)

AN INVESTIGATION OF SAFETY-CRITICAL GROUND INTERFACE (TAKEOFF, LANDING) REGIME RECOGNITION FOR AUTOMATED AND AUTONOMOUS VERTICAL LIFT AIRCRAFT MISSION TASK DESIGN

M. Alexander, National Research Council of Canada/Flight Research Laboratory , Canada

Expert Systems and Machine Learning -based Regime Recognition algorithms were investigated for landing profile identification. These deterministic and unsupervised methods, developed by the NRC Flight Research Laboratory using NRC Bell 412 Advanced Systems Research Aircraft (ASRA) flight test data, demonstrated potential for be enablers for offline and online safety-critical vertical lift (helicopter, rotorcraft, lift-fan, spacecraft) vehicle mission task design.

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DOI: 10.71945/icas2026_0680