
Accession Number : AD0849370
Title : Statistical Identification of a HumanOperator Model in Control Systems Subject to Random Disturbances,
Corporate Author : FOREIGN TECHNOLOGY DIV WRIGHTPATTERSON AFB OH
Personal Author(s) : Firla, A. P.
Report Date : 08 NOV 1968
Pagination or Media Count : 20
Abstract : In investigating humanoperator factors in manualcontrol systems subject to random disturbance effects, one can accept the hypothesis of a quasilinear model assuming linearity and stationariness. For this purpose, one should identify the parameters of such a model, assuming that the operator acts, basically, as a linear member with a transmittance H(jw) to a linear object G(jw), with the forcing action u(t) a stationary and ergodic random process. In order to find the optimum operator performance (in terms of a rms linear approximation of H(jw)), one has to minimize the functional J = E ((c(t)  c'(t)) squared), with c(t) the real reaction measured at the operator's output and c'(t) the desired model reaction. Solution of the problem is best found in the frequencies region. A study was made of several different control situations which occur most frequently. Two speciallytrained operators were tested under varying operating conditions. It was found that the adopted method proved wellchosen in all cases where hypothesis of a quasilinear model for the statistical identification of dynamic humanoperator factors is acceptable, and the action of the operator involved may be compared with the action of a 'classical' continuous regulator.
Descriptors : (*HUMAN FACTORS ENGINEERING, MAN MACHINE SYSTEMS), (*MAN MACHINE SYSTEMS, OPTIMIZATION), LINEAR PROGRAMMING, CONTROL SYSTEMS, HUMAN FACTORS ENGINEERING, OPERATORS(PERSONNEL), REACTION(PSYCHOLOGY), REFLEXES, USSR.
Subject Categories : Human Factors Engineering & Man Machine System
Distribution Statement : APPROVED FOR PUBLIC RELEASE