Modeling Human Dynamics in Combined Ramp-Following and Disturbance-Rejection Tasks

Modeling Human Dynamics in Combined Ramp-Following and Disturbance-Rejection Tasks

Pool, D.M.
Van Paassen, M.M.
Mulder, M.

Aerospace Engineering

Control & Operations

2010-08-02

This paper investigates the modeling of humanmanual control behavior for pursuit tracking tasks in which target forcing functions consisting of multiple ramp-like changes in target attitude are used. Due to the use of a pursuit display and the predictability of such forcing function signals, it can be anticipated that a pursuit or precognitive control strategy, consisting of open-loop feedforward control inputs in response to the predictable reference signal, is applied by the human operator. If combined with an additional disturbance on the controlled element, a control task results that is similar to performing a commanded turn entry/exit or altitude capture in turbulence. It is as of yet uncertain if such pursuit or precognitive control is indeed used during such a control task, and to what extent a quasi-random disturbance would suppress pursuit/precognitive control strategies. A human-in-the-loop evaluation of the combined ramp-following and disturbance-rejection task was performed to gather data for the modeling of human manual control behavior. It is found that despite the anticipated pursuit and precognitive control inputs, classical compensatory models of human manual control dynamics are highly capable of describing human dynamics for these specific control tasks. Measured control inputs, however, are found to correspond well with proposed models for open-loop feedforward operations as well, suggesting future evaluation of a model of human behavior that combines, or switches between, error-reducing compensatory and open-loop feedforward operations.

http://resolver.tudelft.nl/uuid:3db971d6-22bb-4991-ac92-49c980afb44c

https://doi.org/10.2514/6.2010-7914

American Institute of Aeronautics and Astronautics (AIAA)

978-1-62410-152-6

AIAA Modeling and Simulation Technologies Conference, Toronto, Canada, 2-5 August 2010; AIAA 2010-7914

Institutional Repository

conference paper

© 2010 Delft University of Technology