Real-Time Simulation Platform for Controller Design, Test, and Redesign

dc.contributor.author şahin S.
dc.contributor.author Işler Y.
dc.contributor.author Güzeliş C.
dc.date.accessioned 2023-06-16T15:01:57Z
dc.date.available 2023-06-16T15:01:57Z
dc.date.issued 2017
dc.description.abstract Control is a problem of finding a suitable (control) input driving a given system to a desired behavior. In general, there is extensive literature introducing the field of control and providing background material on solving control problems [1-3]. Having a system displaying a desired behavior is usually achieved by designing a controller that produces the necessary control in terms of the fed back actual (plant) output and a reference signal representing the desired (plant) output. The design of a controller working well for a given real plant in an actual environment requires the consideration of the behavior of the actual plant under the actual operating conditions [4-11]. In one extreme, such a controller design problem can be attempted to be solved by examining the simulated controller on a simulated plant under simulated operating conditions [2,12], while in another extreme, the approach relies on testing and tuning the controller hardware on the physical plant in the actual environment [13,14]. Testing the proposed controllers’ performance on the simulated or physical plant is followed by a redesigning or parameter tuning process performed offline or online. Both approaches have their own advantages/disadvantages and also difficulties for experimentation. For most of the cases, examining the controller candidates directly on the physical plant may not be possible in the laboratory environment or may be dangerous because of possible damages that may result [15,16]. In between these extremes lies an approach that mimics the physical plant in real time and in actual environmental conditions, especially in combination with the analog/digital interface units. However, such an approach is not only complicated in software simulations but it also yields, with great probability, unreliable simulators that are highly sensitive to the unavoidable modeling errors that each simulated unit embodies [17,18]. © 2013 by Taylor & Francis Group, LLC. en_US
dc.identifier.doi 10.1201/b12667
dc.identifier.isbn 9781439847237
dc.identifier.isbn 9781439846650
dc.identifier.scopus 2-s2.0-85044400085
dc.identifier.uri https://doi.org/10.1201/b12667
dc.identifier.uri https://hdl.handle.net/20.500.14365/3686
dc.language.iso en en_US
dc.publisher CRC Press en_US
dc.relation.ispartof Real-Time Simulation Technologies: Principles, Methodologies, and Applications en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Problem solving en_US
dc.subject Tuning en_US
dc.subject Actual environments en_US
dc.subject Controller designs en_US
dc.subject Controller hardware en_US
dc.subject Environmental conditions en_US
dc.subject Laboratory environment en_US
dc.subject Operating condition en_US
dc.subject Real time simulation platform en_US
dc.subject Software simulation en_US
dc.subject Controllers en_US
dc.title Real-Time Simulation Platform for Controller Design, Test, and Redesign en_US
dc.type Book Part en_US
dspace.entity.type Publication
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gdc.description.departmenttemp şahin, S., Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Izmir Katip Çelebi University, İzmir, Turkey; Işler, Y., Department of Biomedical Engineering, Faculty of Engineering and Architecture, Izmir Katip Çelebi University, İzmir, Turkey; Güzeliş, C., Department of Electronics and Communication Engineering, Faculty of Engineering and Computer Science, Izmir University of Economics, Izmir, Turkey en_US
gdc.description.endpage 500 en_US
gdc.description.publicationcategory Kitap Bölümü - Uluslararası en_US
gdc.description.scopusquality N/A
gdc.description.startpage 461 en_US
gdc.description.wosquality N/A
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gdc.opencitations.count 13
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gdc.plumx.mendeley 179
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