Deep-Learning-Based Unobtrusive Estimation of Pilot Adverse Interactions and Loss of Energy State Awareness

PI Hever Moncayo

​This project aimed at gaining more insight into the mechanisms of pilot SD and LESA occurrence, capturing their dynamic fingerprint, and developing on-board intelligent schemes capable of predicting and detecting these dangerous phenomena associated to pilot behaviors. 

Findings: Final report submitted 9/24. Each of the mathematical models showed good capabilities of estimating each of the pilot parameters and represent a promising tool towards the characterization of pilot behavior using learning components. Continuation can be pursued by generalizing or extending the proposed results to other aircraft-pilot dynamics, possibly eVTOLs for AAM.

Student and Curriculum impact. The simulation and testing tools will be integrated as part of the experiential learning of the course AE623 Guidance, Navigation and Control that will be taught by the PI next Fall 2025. The proposed technique also allowed a master student in Aerospace Engineering to complement and enhance her thesis outcomes.

Scholarly products: NASA ULI submission, NSF Dynamics Control and Systems

  • Brutch, T. Schill, and H. Moncayo, Machine learning approach to estimation of human-pilot model parameters, in Guidance Navigation and Control Architectures for Autonomous Systems III, AIAA SciTech 2024 Forum, 2024-1200 (AIAA, Orlando, FL, 2024).
  • S. Brutch and H. Moncayo, Performance analysis of machine learning algorithms to humanpilot-model parameter estimation, in IS-30, Human - Automation Interaction, Accepted for presentation in AIAA SciTech 2025 Forum (AIAA, Orlando, FL, 2025).
  • S. Brutch, Rocio. Jado-Puente, and H. Moncayo, A physics-informed deep learning model for estimating human pilot behavior and mitigating adverse interactions, in Guidance Navigation and Control Architectures for Autonomous Systems III, AIAA SciTech 2024 Forum, 2024-1200

Researchers

  • Hever Moncayo
    Department
    Aerospace Engineering Department
    Degrees
    Ph.D., West Virginia University