Identification of Human Operator Model Parameters in System with Saturated Actuator

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Identification of Human Operator Model Parameters in System with Saturated Actuator. / Zaitceva, Iuliia ; Andrievsky, Boris ; Kuznetsov, Nikolay V.; Popov, Alexander M.

в: IFAC-PapersOnLine, Том 55, № 7, 2022, стр. 526-531.

Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование

BibTeX

@article{c7b67a5db5784087976ec6a9233391be,

title = "Identification of Human Operator Model Parameters in System with Saturated Actuator",

abstract = "In this paper, the closed-loop human-machine system is studied under the framework of the control systems theory. The human operator model is considered concerning the human's ability for adaptation to the current operational conditions. For flying vehicles this property corresponds the crossover model by McRuer. In the paper, the actuator is modeled in the form of a first-order low-pass filter with the saturation. The paper deals with the case when the human operator manually controls the vehicle along one angular coordinate. In the paper, an algorithm for identifying the parameters of a human operator in a nonlinear control system is proposed. The implementation of the algorithm is based on solving a nonlinear optimization problem with restrictions on frequency characteristics, the range of possible values of the operator's model, and performance criteria for controlling a closed man-machine system. The proposed algorithm is illustrated by a numerical example, for which the human model parameters values are found by the example of the unmanned aerial vehicle's human control. For comparison, the parameters of the human operator model for a linear system are given.",

keywords = "human-machine system, identification, modeling, nonlinear systems, optimization",

author = "Iuliia Zaitceva and Boris Andrievsky and Kuznetsov, {Nikolay V.} and Popov, {Alexander M.}",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.. All rights reserved.; 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2022 ; Conference date: 14-06-2022 Through 17-06-2022",

year = "2022",

doi = "10.1016/j.ifacol.2022.07.497",

language = "English",

volume = "55",

pages = "526--531",

journal = "IFAC-PapersOnLine",

issn = "2405-8971",

publisher = "Elsevier",

number = "7",

}

RIS

TY - JOUR

T1 - Identification of Human Operator Model Parameters in System with Saturated Actuator

AU - Zaitceva, Iuliia

AU - Andrievsky, Boris

AU - Kuznetsov, Nikolay V.

AU - Popov, Alexander M.

PY - 2022

Y1 - 2022

N2 - In this paper, the closed-loop human-machine system is studied under the framework of the control systems theory. The human operator model is considered concerning the human's ability for adaptation to the current operational conditions. For flying vehicles this property corresponds the crossover model by McRuer. In the paper, the actuator is modeled in the form of a first-order low-pass filter with the saturation. The paper deals with the case when the human operator manually controls the vehicle along one angular coordinate. In the paper, an algorithm for identifying the parameters of a human operator in a nonlinear control system is proposed. The implementation of the algorithm is based on solving a nonlinear optimization problem with restrictions on frequency characteristics, the range of possible values of the operator's model, and performance criteria for controlling a closed man-machine system. The proposed algorithm is illustrated by a numerical example, for which the human model parameters values are found by the example of the unmanned aerial vehicle's human control. For comparison, the parameters of the human operator model for a linear system are given.

AB - In this paper, the closed-loop human-machine system is studied under the framework of the control systems theory. The human operator model is considered concerning the human's ability for adaptation to the current operational conditions. For flying vehicles this property corresponds the crossover model by McRuer. In the paper, the actuator is modeled in the form of a first-order low-pass filter with the saturation. The paper deals with the case when the human operator manually controls the vehicle along one angular coordinate. In the paper, an algorithm for identifying the parameters of a human operator in a nonlinear control system is proposed. The implementation of the algorithm is based on solving a nonlinear optimization problem with restrictions on frequency characteristics, the range of possible values of the operator's model, and performance criteria for controlling a closed man-machine system. The proposed algorithm is illustrated by a numerical example, for which the human model parameters values are found by the example of the unmanned aerial vehicle's human control. For comparison, the parameters of the human operator model for a linear system are given.

KW - human-machine system

KW - identification

KW - modeling

KW - nonlinear systems

KW - optimization

UR - http://www.scopus.com/inward/record.url?scp=85137034501&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/e15bcefc-8f5f-3523-b93a-e23733dbafd3/

U2 - 10.1016/j.ifacol.2022.07.497

DO - 10.1016/j.ifacol.2022.07.497

M3 - Conference article

AN - SCOPUS:85137034501

VL - 55

SP - 526

EP - 531

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8971

IS - 7

T2 - 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2022

Y2 - 14 June 2022 through 17 June 2022

ER -

ID: 98856287

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