Control of mechatronic systems

dc.authorscopusid6701499807
dc.authorscopusid7004242785
dc.authorscopusid57016447200
dc.authorscopusid34869466300
dc.contributor.authorGüvenç,L.
dc.contributor.authorAksun-Güvenç,B.
dc.contributor.authorDemirel,B.
dc.contributor.authorEmirler,M.T.
dc.date.accessioned2024-05-25T12:32:21Z
dc.date.available2024-05-25T12:32:21Z
dc.date.issued2017
dc.departmentOkan Universityen_US
dc.department-tempGüvenç L., Ohio State University, Electrical and Computer Engineering Department, Center for Automotive Research (CAR), United States; Aksun-Güvenç B., Department of Mechanical and Aerospace Engineering, Center for Automotive Research (CAR), Ohio State University, United States; Demirel B., Paderborn University, Germany; Emirler M.T., Department of Mechanical Engineering, Istanbul Okan University, Turkeyen_US
dc.description.abstractThis book introduces researchers and advanced students with a basic control systems background to an array of control techniques which they can easily implement and use to meet the required performance specifications for their mechatronic applications. It is the result of close to two decades of work of the authors on modeling, simulating and controlling different mechatronic systems from the motion control, automotive control and micro and nano-mechanical systems control areas. The methods presented in the book have all been tested by the authors and a very large group of researchers, who have produced practically implementable controllers with highly successful results. The approach that is recommended in this book is to first start with a conventional control method which may then be cascaded with a feedforward controller if the input is known or can be measured with a preview; to add a disturbance observer if unknown disturbances are to be rejected and if regulation of the uncertain plant about a nominal model is desired; and to add a repetitive controller to take care of any periodic inputs of fixed and known period. Case studies ranging from road vehicle yaw stability control and automated path following, to decoupling control of piezotube actuators in an atomic force microscope are presented. Parameter space based methods are used in the book for achieving robust controllers. Control of Mechatronic Systems is essential reading for researchers and advanced students who want to be exposed to control methods that have been field tested in a wide variety of mechatronic applications, and for practicing engineers who design and implement feedback control systems. © The Institution of Engineering and Technology 2017.en_US
dc.identifier.citation32
dc.identifier.doi10.1049/PBCE104E
dc.identifier.endpage200en_US
dc.identifier.isbn978-178561144-5
dc.identifier.scopus2-s2.0-85113981464
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1049/PBCE104E
dc.identifier.urihttps://hdl.handle.net/20.500.14517/2377
dc.language.isoen
dc.publisherInstitution of Engineering and Technologyen_US
dc.relation.ispartofControl of Mechatronic Systemsen_US
dc.relation.publicationcategoryKitap - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectControl system synthesisen_US
dc.subjectFeedbacken_US
dc.subjectFeedback control systemsen_US
dc.subjectMechatronic systemsen_US
dc.subjectMechatronicsen_US
dc.subjectRobust controlen_US
dc.subjectRobust controller designen_US
dc.titleControl of mechatronic systemsen_US
dc.typeBooken_US
dspace.entity.typePublication

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