Adaptive Fuzzy Modulation for Networked PI Control Systems

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dc.contributor.advisorDr. Fen Wu, Committee Memberen_US
dc.contributor.advisorDr. H. Joel Trussell, Committee Memberen_US
dc.contributor.advisorDr. James J. Brickley, Committee Memberen_US
dc.contributor.advisorDr. Mo-Yuen Chow, Committee Chairen_US
dc.contributor.authorAl-mutairi, Naif Bejaden_US
dc.date.accessioned2010-04-02T19:20:44Z
dc.date.available2010-04-02T19:20:44Z
dc.date.issued2002-05-30en_US
dc.degree.disciplineElectrical Engineeringen_US
dc.degree.leveldissertationen_US
dc.degree.namePhDen_US
dc.descriptionNorth Carolina State University Theses Electrical and Computer Engineering.
dc.description.abstractNetworks and their applications have been evolving substantially in the last two decades. Network-based control systems, also called Networked Control Systems (NCS), are one of the hottest topics in network-based applications. By networked control system we mean controlling the system through the network, i.e., using networks for remote control and automation. One major concern of using networks in remote control and automation is the Quality of Service (QoS) deterioration effects. These QoS deterioration effects such as: network-induced time delays, bandwidth constraints, multiple-packet transmission, and dropping network packets are serious tribulations. Without considering the effect of the QoS deterioration the performance of the NCS closed-loop control system could be degraded and even destabilized. In this thesis, an adaptive fuzzy logic modulation scheme is proposed to compensate for the network-induced time delays in the network-based PI control systems. This scheme is based on modulating the control signal provided by the PI controller and applied to the remote controller via the network. A network-based controlled DC motor is used in this thesis to illustrate the effectiveness of the proposed scheme.en_US
dc.formatThesis (Ph.D.)--North Carolina State University.
dc.identifier.otheretd-05272002-185519en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/5831
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectfuzzy logicen_US
dc.subjectnetworked control systemsen_US
dc.subjectPI controlen_US
dc.subjectadaptive systemsen_US
dc.subjectnetwork-based controlen_US
dc.titleAdaptive Fuzzy Modulation for Networked PI Control Systemsen_US
dcterms.abstractKeywords: fuzzy logic, networked control systems, PI control, adaptive systems, network-based control.
dcterms.extentxxi, 147 pages : illustrations (some color)

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