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Development of model predictive control of fluorine density in SF6/O2/Ar etch plasma by oxygen flow rate

DC Field Value Language
dc.contributor.authorRyu, Sangwon-
dc.contributor.authorKwon, Ji-Won-
dc.contributor.authorPark, Jihoon-
dc.contributor.authorLee, Ingyu-
dc.contributor.authorPark, Seolhye-
dc.contributor.authorKim, Gon-Ho-
dc.date.accessioned2022-05-16T08:55:27Z-
dc.date.available2022-05-16T08:55:27Z-
dc.date.created2022-02-28-
dc.date.created2022-02-28-
dc.date.issued2022-04-
dc.identifier.citationCurrent Applied Physics, Vol.36, pp.183-186-
dc.identifier.issn1567-1739-
dc.identifier.urihttps://hdl.handle.net/10371/179813-
dc.description.abstract© 2021 Korean Physical SocietyA model predictive controller (MPC) that controls the fluorine density to a constant level in the etching process plasma was developed. In SF6/O2/Ar etch plasma, an algorithm was developed to maintain the F radical density at a constant level by controlling the amount of oxygen inflow. In the development of the controller, the gain of control model was designed from the particle balance equation, and the time constants were designed in consideration of the dynamic characteristics of equipment parts. The performance of the controller algorithm is evaluated through a set-point tracking test. It is expected that this will be an element technology of an automated process controller that actively controls disturbances during the etching process.-
dc.language영어-
dc.publisherElsevier B.V.-
dc.titleDevelopment of model predictive control of fluorine density in SF6/O2/Ar etch plasma by oxygen flow rate-
dc.typeArticle-
dc.identifier.doi10.1016/j.cap.2021.12.007-
dc.citation.journaltitleCurrent Applied Physics-
dc.identifier.wosid000782513000005-
dc.identifier.scopusid2-s2.0-85124721434-
dc.citation.endpage186-
dc.citation.startpage183-
dc.citation.volume36-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Gon-Ho-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordAuthorAWC-
dc.subject.keywordAuthorEtch-
dc.subject.keywordAuthorModel based predictive controller-
dc.subject.keywordAuthorMPC-
dc.subject.keywordAuthorPI-
dc.subject.keywordAuthorPI-MPC-
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