Decentralized Control of a Multivariable System

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Abstract

A complex multi-axis machinery can be represented as a combination of local subsystems with interconnections between channels and couplings through the machine structure or process materials. Interactions between subsystems can complicate a control problem, especially when the parameters of the plant are of time-varying or uncertain. The adaptive control system described in this paper allows one to achieve an independent motion of plant outputs due to the elimination of interconnections between channels by local feedbacks, and simultaneously compensates the uncertainties of the plant parameters. The desirable motion of the subsystems outputs can be accomplished by using relevant reference models in each local subsystem. Index terms - Multivariable system, time-varying systems, feedback control, system stability.
Original languageEnglish
Pages (from-to)66-68
Number of pages3
JournalInternational Journal of Industrial Electronics and Electrical Engineering, (IJIEEE)
Volume6
Issue number7
Publication statusPublished - Jul 2018

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Control system stability
Adaptive control systems
Multivariable systems
Decentralized control
Time varying systems
Feedback control
Machinery
Feedback
Uncertainty

Bibliographical note

Free open access journal aim to provide the complete and a reliable source of information on current developments in the fields of Electronics and Electrical Engineering. The emphasis will be on publishing quality articles rapidly and openly available to researchers worldwide.

Cite this

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title = "Decentralized Control of a Multivariable System",
abstract = "A complex multi-axis machinery can be represented as a combination of local subsystems with interconnections between channels and couplings through the machine structure or process materials. Interactions between subsystems can complicate a control problem, especially when the parameters of the plant are of time-varying or uncertain. The adaptive control system described in this paper allows one to achieve an independent motion of plant outputs due to the elimination of interconnections between channels by local feedbacks, and simultaneously compensates the uncertainties of the plant parameters. The desirable motion of the subsystems outputs can be accomplished by using relevant reference models in each local subsystem. Index terms - Multivariable system, time-varying systems, feedback control, system stability.",
author = "Yuri Vershinin",
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N2 - A complex multi-axis machinery can be represented as a combination of local subsystems with interconnections between channels and couplings through the machine structure or process materials. Interactions between subsystems can complicate a control problem, especially when the parameters of the plant are of time-varying or uncertain. The adaptive control system described in this paper allows one to achieve an independent motion of plant outputs due to the elimination of interconnections between channels by local feedbacks, and simultaneously compensates the uncertainties of the plant parameters. The desirable motion of the subsystems outputs can be accomplished by using relevant reference models in each local subsystem. Index terms - Multivariable system, time-varying systems, feedback control, system stability.

AB - A complex multi-axis machinery can be represented as a combination of local subsystems with interconnections between channels and couplings through the machine structure or process materials. Interactions between subsystems can complicate a control problem, especially when the parameters of the plant are of time-varying or uncertain. The adaptive control system described in this paper allows one to achieve an independent motion of plant outputs due to the elimination of interconnections between channels by local feedbacks, and simultaneously compensates the uncertainties of the plant parameters. The desirable motion of the subsystems outputs can be accomplished by using relevant reference models in each local subsystem. Index terms - Multivariable system, time-varying systems, feedback control, system stability.

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