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Linear and Nonlinear State Estimation in the Czochralski Process

Sammendrag

The Czochralski process is the only method used commercially for production of monocrystalline silicon for semiconductor and solar cell applications. This paper explores the use of mathematical modeling as an aid in estimation of system state variables in the standard Czochralski process. A state-space model of the process is presented, describing the dynamics of the crystal radius and meniscus height with crystal radius as measured output. For the purpose of estimating the actual crystal radius during growth, three types of state estimators are developed based on the state-space model; the Kalman lter, the extended Kalman lter and the unscented Kalman lter. It is found that the latter two provide highly accurate state estimates with excellent noise suppression.
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Kategori

Vitenskapelig artikkel

Oppdragsgiver

  • Research Council of Norway (RCN) / 192427

Språk

Engelsk

Forfatter(e)

  • Parsa Rahmanpour
  • John Atle Bones
  • Morten Hovd
  • Jan Tommy Gravdahl

Institusjon(er)

  • Norges teknisk-naturvitenskapelige universitet
  • SINTEF Industri / Bærekraftig energiteknologi

År

2013

Publisert i

Elsevier IFAC Publications / IFAC Proceedings series

ISSN

1474-6670

Forlag

Elsevier

Årgang

10

Hefte nr.

1

Side(r)

523 - 528

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