title: [Modeling of feeling institution in pilot structural model].
abstract: Objective. To improve a structural pilot model proposed by R. A. Hess, in which element of observation feeling institution was neglected. Method. Real simulation results showed that there was a blind region for small observation signal, and pilot made no response in this region. So we knew that the basic characteristics of the observation feeling institution were observation threshold and observation noise. A Neural Network (NN) receptor model was augmented in the structural pilot model to describe the characteristics of human observation feeling institution. Furthermore, using the augmented model, the affection of the pilot model on the characteristics of the closed-loop system of pilot and controlled element was studied. Result. The affection of NN perception on the closed-loop system was that the stable gain region of the human pilot was extended. Conclusion. The proposed model was reasonable for the element of human feeling institution.
authors.affiliation: Beijing University of Aeronautics and Astronautics, Beijing, China.
authors.forename: X J
authors.initials: XJ
authors.lastname: Qu
authors.forename: H
authors.initials: H
authors.lastname: Wei
authors.forename: J C
authors.initials: JC
authors.lastname: Guan
mesh_terms: D000337:Aerospace Medicine; D001359:Aviation; D006804:Ergonomics; D006801:Humans; D008328:Man-Machine Systems; D008960:Models, Psychological; D016571:Neural Networks, Computer; D010465:Perception