Data-Driven Modelling and Robust Control of a Semiconductor Manufacturing Process

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The paper presents a model-based controller design technique for a thermal process in silicon wafer manufacturing. The underlying model is obtained by dynamic mode decomposition which is a purely data-driven approach. The control scheme consists of a state feedback controller in combination with a disturbance observer, which allows robust tracking of feasible reference temperature profiles. The approach is validated using a laboratory setup.
Original languageEnglish
Title of host publication22nd IFAC World Congress
Place of PublicationYokohama, Japan
Pages4234-4239
Number of pages6
Volume56
Publication statusPublished - 2023
Event22nd IFAC World Congress: IFAC 2023 - Pacific Convention Plaza Yokohama, Yokohama, Japan
Duration: 10 Jul 202314 Jul 2023

Conference

Conference22nd IFAC World Congress
Abbreviated titleIFAC 2023
Country/TerritoryJapan
CityYokohama
Period10/07/2314/07/23

Keywords

  • Thermal and process control applications of distributed parameter systems
  • Data-driven robust control
  • Model reduction

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