This work addresses the estimation of time-varying pilot parameters within Rotorcraft– Pilot Couplings. An analytical, physics-based model with the minimum number of degrees of freedom represents the coupled pilot–helicopter dynamics. Parameter tracking uses sigma-points filtering to capture time-varying parameter characterization. Simulations under diverse conditions accurately reconstruct the trajectories of states and parameters in real time. The approach provides a practical basis for robust online identification and control strategies to mitigate Pilot-Assisted Oscillations.

Continuous Time Estimation of Pilot Biodynamic Response for Vertical Bounce Coupling Assessment

Aresi, Tommaso;Zanoni, Andrea;Masarati, Pierangelo
2026-01-01

Abstract

This work addresses the estimation of time-varying pilot parameters within Rotorcraft– Pilot Couplings. An analytical, physics-based model with the minimum number of degrees of freedom represents the coupled pilot–helicopter dynamics. Parameter tracking uses sigma-points filtering to capture time-varying parameter characterization. Simulations under diverse conditions accurately reconstruct the trajectories of states and parameters in real time. The approach provides a practical basis for robust online identification and control strategies to mitigate Pilot-Assisted Oscillations.
2026
CEAS - AIDAA Conference 2025
978-1-64490-424-4
Kalman Filter
Parameter Identification
Pilot-Assisted Oscillations PAO
Rotorcraft–Pilot Coupling RPC
Time-Varying Parameters
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1324829
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