A Shifting Method for Intelligent Operational Mode of UAVs

Abstract

This paper proposed the intelligent operational mode to support UAVs autonomous decision-making, so the pilot's cognitive load declined and the UAV's decision performance improved in manned/unmanned aerial vehicles (MAV/UAVs) teams. The intelligent operational mode, which is determined by UAVs' comprehension of the human-machine-environment system, reflects the decision preference of UAVs. To explain how the intelligent operation mode shifts, two models were created based on Fuzzy Cognitive Map (FCM) and Fuzzy Grey Cognitive Map (FGCM). The first model assessed the pilot's cognitive load and the second derived the intelligent operational mode from the pilot's cognitive loads and many other critical factors. At the end of this paper, the rationality and feasibility of the proposed models are checked by several cases.