Pilot mental models and loss of control

Sebastien Mamessier, Karen Feigh, Amy Pritchett, David Dickson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Loss of control events often involve erroneous pilot mental models of the aircraft state and autoflight system modes in the period leading up to the event. These mental models include their immediate situation awareness of the aircraft state, but also often include their knowledge of the autoflight system. Both aspects of these have been modeled computationally in fast-time simulations. The situation awareness of aircraft state is represented as a model-based observer (e.g. Kalman filter). The knowledge of autoflight modes is represented as a finite state machine where each state represents a different control behavior, and transitions between modes are explicitly represented to describe the conditions in which they can be commanded by the pilot and/or commanded automatically. This paper will describe the results of simulations in which the mental model is run dynamically through flight events potentially leading to loss of control.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference
DOIs
Publication statusPublished - Feb 28 2014
EventAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014 - National Harbor, MD, United States
Duration: Jan 13 2014Jan 17 2014

Publication series

NameAIAA Guidance, Navigation, and Control Conference

Other

OtherAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014
CountryUnited States
CityNational Harbor, MD
Period1/13/141/17/14

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All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering

Cite this

Mamessier, S., Feigh, K., Pritchett, A., & Dickson, D. (2014). Pilot mental models and loss of control. In AIAA Guidance, Navigation, and Control Conference (AIAA Guidance, Navigation, and Control Conference). https://doi.org/10.2514/6.2014-0609