Human Operator Modeling for Aerial Tracking.
Abstract
Modern Optimal Control techniques are employed to investigate and model human performance degradation under sustained positive linear acceleration stress. The study, which combines both experimental and analytical programs, reaffirms the hypothesis that target tracking performance under Gz-stress deteriorates significantly. The empirical data exhibit trends which manifest this contention: Gz-stress effects slow tracking error recovery, lower magnitude of the human describing function, increased variability in tracking errors, a large increase in the pilot's control remnant, and significantly larger RMS tracking scores. A normative performance G-model, based upon the Optimal Control Model (OCM), is developed. The model outputs include first- and second-order statistics of the various quantities in the tracking loop, such as tracking errors, control input time histories. Alternately, when a steady state situation is considered, the model predicts the human transfer function, control remnant and other related frequency measures. It is shown that under Gz-stress, the OCM is augmented with G-submodels and that model parameters depart from their nominal values. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1980
- Accession Number
- ADA097329
Entities
People
- Arye R. Ephrath
- David Lee Kleinman
- Jonathan Korn
Organizations
- University of Connecticut