Feedforward Control and Process Improvement for Some Time Series Disturbance Models

dc.contributor.advisorKapur, Kailashen_US
dc.contributor.authorShi, Lihuien_US
dc.date.accessioned2013-02-25T17:57:32Z
dc.date.available2015-12-14T17:55:53Z
dc.date.issued2013-02-25
dc.date.submitted2012en_US
dc.descriptionThesis (Ph.D.)--University of Washington, 2012en_US
dc.description.abstractProcess adjustment strategy is an important part of the process improvement methods, which is also called engineering process control (EPC), and it is often integrated with statistical process control (SPC) to improve the process control performance. While feedback control is used to compensate for the output deviation, feedforward control is a proactive control strategy based on a direct measurement of the disturbance, and it acts before the disturbance affects the system. Feedforward control is usually combined with feedback control for variation reduction. In this article, rationales for feedforward control are explained, and a new philosophy on its application is given. The feasibility condition for feedforward control application is illustrated from a new disturbance decomposition viewpoint, and the validity of some disturbance models which work well for feedforward control is investigated. Some relevant issues on process monitoring, feedback control and feedforward control are discussed and addressed.en_US
dc.embargo.termsRestrict to UW for 2 years -- then make Open Accessen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.otherShi_washington_0250E_10966.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1773/21918
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.subjectEngineering Process Control; Feedback Control; Feedforward Control; Statistical Process Control; Time Series Modelsen_US
dc.subject.otherEngineeringen_US
dc.subject.otherIndustrial engineeringen_US
dc.subject.otherIndustrial engineeringen_US
dc.titleFeedforward Control and Process Improvement for Some Time Series Disturbance Modelsen_US
dc.typeThesisen_US

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