Fuzzy predictive R2R control to CMP process

Liang Wang, Jingtao Hu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

For chemical mechanical polishing (CMP) process characteristics of nonlinear, time-varying and not easily being in-situ measured, this paper proposes a CMP process fuzzy predictive run-to-run (R2R) controller named FPR2R. CMP T-S fuzzy predictive model is off-line and on-line identified by algorithms of fuzzy clustering and recursive least squares with forgetting factor, thus problem of constructing accurate mathematical model of complicated CMP is solved and error of modeling is reduced. Recipe is calculated by multivariable generalized predictive control (GPC) method, therefore it improves control precision. Simulation results illustrate that proposed CMP FPR2R controller is better than EWMA control scheme about performance, variation in various runs of products is reduced substantially, process drifts and shifts is suppressed significantly. Compared to EWMA, root mean squared error for material removal rate(MRR) is decreased.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Pages6-10
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011 - Shanghai, China
Duration: 10 Jun 201112 Jun 2011

Publication series

NameProceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Volume2

Conference

Conference2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Country/TerritoryChina
CityShanghai
Period10/06/1112/06/11

Keywords

  • chemical mechanical polishing
  • generalized predictive control
  • run-to-run control
  • semiconductor manufacturing
  • T-S fuzzy predictive model

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