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Accession Number N20120014505
Title Preliminary Exploration of Adaptive State Predictor Based Human Operator Modeling.
Publication Date Aug 2012
Media Count 10p
Personal Author A. C. Trujillo I. M. Gregory
Abstract Control-theoretic modeling of the human operator dynamic behavior in manual control tasks has a long and rich history. In the last two decades, there has been a renewed interest in modeling the human operator. There has also been significant work on techniques used to identify the pilot model of a given structure. The purpose of this research is to attempt to go beyond pilot identification based on collected experimental data and to develop a predictor of pilot behavior. An experiment was conducted to quantify the effects of changing aircraft dynamics on an operator s ability to track a signal in order to eventually model a pilot adapting to changing aircraft dynamics. A gradient descent estimator and a least squares estimator with exponential forgetting used these data to predict pilot stick input. The results indicate that individual pilot characteristics and vehicle dynamics did not affect the accuracy of either estimator method to estimate pilot stick input. These methods also were able to predict pilot stick input during changing aircraft dynamics and they may have the capability to detect a change in a subject due to workload, engagement, etc., or the effects of changes in vehicle dynamics on the pilot.
Keywords Adaptive control
Aerodynamics
Aircraft maneuvers
Aircraft pilots
Algorithms
Human behavior
Manual control
Mathematical models
Optimization
Pitch(Inclination)
Real time operation

 
Source Agency National Aeronautics and Space Administration
NTIS Subject Category 51B - Aeronautics
Corporate Author National Aeronautics and Space Administration, Hampton, VA. Langley Research Center.
Document Type Conference proceedings
Title Note N/A
NTIS Issue Number 1308
Contract Number N/A

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