Accession Number : ADA115543
Title : Prediction of Short Term Tracking Tasks Using an Optimal Pilot Model.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING
Personal Author(s) : Mullen,Patrick A
PDF Url : ADA115543
Report Date : Mar 1982
Pagination or Media Count : 101
Abstract : An optimal pilot model has previously been successful in predicting the long term tracking performance of a longitudinal air-to-air gunnery task. This study investigated modifications to the same pilot model to determine whether it could be used to successfully predict performance for a short term task. The same task, including a lead computing optical sight, was simulated on a hybrid computer. Three pilots flew three different aircraft configurations on the fixed-base simulator against a target driven to RMS accelerations of 3.5G and 5.0G by filtered, Gaussian noise. The target was at either 1000' or 3000' range. A comparison of the data generated by the human pilots versus that of the optimal pilot model showed moderate correlation for elevator deflection, lead angle and pitch rate. Overall, the optimal pilot model was less successful in predicting short term tracking performance than it was in predicting long term performance.
Descriptors : *Aerial targets, *Tracking, *Aerial gunnery, Time dependence, Optimization, Computerized simulation, Target acquisition, Optical sights, Fire control systems, Man machine systems, Hybrid computers, Flight simulators, Data acquisition, Data reduction, Comparison, Error analysis, Predictions, Correlators, Flight maneuvers, Pilots, Performance(Human), Theses
Subject Categories : Optical Detection and Detectors
Fire Control and Bombing Systems
Distribution Statement : APPROVED FOR PUBLIC RELEASE