The performance enhancement of distributed systems through decentralized control and sensor fusion

Research output: Contribution to conferencePaper

Abstract

One solution to the problem of controlling distributed systems involves using decentralized control for each separate subsystem, taking into account of the relevant information from other interconnected subsystems. The adaptive control system described allows one to achieve an independent motion of plant outputs due to the elimination of interconnections between channels by local feedback, and simultaneously compensates the uncertainties of plant parameters. The desirable motion of subsystems outputs can be accomplished by using relevant reference models in each local subsystem. An information matrix, which is based on the errors between the velocity of the rotor shaft of a motor and its reference velocity, is constructed for each local subsystem. A decentralized Kalman filter is employed on each subsystem as a sensor fusion device. This allows graceful degradation of the overall performance if some local units fail or interconnection are broken. Computer simulation examples of adaptive decentralized control of electric motors with a common load are presented
Original languageEnglish
Pages14
DOIs
Publication statusPublished - 2001
EventDERA/IEE Workshop Intelligent Sensor Processing - Birmingham, United Kingdom
Duration: 14 Feb 200114 Feb 2001

Conference

ConferenceDERA/IEE Workshop Intelligent Sensor Processing
CountryUnited Kingdom
CityBirmingham
Period14/02/0114/02/01

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Bibliographical note

The full text is available from http://digital-library.theiet.org/docserver/fulltext/conference/2001/050/20010109.pdf?expires=1457706842&id=id&accname=guest&checksum=00170F953CE5F01277BEAE6F8CF5401F

Cite this

Vershinin, Y. A. (2001). The performance enhancement of distributed systems through decentralized control and sensor fusion. 14. Paper presented at DERA/IEE Workshop Intelligent Sensor Processing, Birmingham, United Kingdom. https://doi.org/10.1049/ic:20010109