A Integrated, Real-Time Computing Environment for Advanced Process Control Development

作者

  • James H. van der Lee University of Calgary
  • Donald G. Olsen University of Calgary
  • Brent R. Young University of Calgary
  • William Y. Svrcek University of Calgary

摘要

The development of an integrated, real-time computing environment for advanced process control development and education using Hysys, Excel, and Matlab linked with each other is outlined in this paper.  The potential of this integrated, real-time computing environment is demonstrated using a case study of a pseudo random binary sequence for the identification of a methanol-water distillation column simulation.

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James van der Lee is a full-time graduate student in Chemical and Petroleum Engineering at the University of Calgary. He received his BS (1999) in chemical engineering from the University of Calgary. His research focuses on the model predictive control of a pilot amine absorption/stripping plant.

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Don Olsen is a part-time graduate student in Chemical and Petroleum Engineering at the University of Calgary and an applications engineer with Hyprotech Ltd. in Calgary. He received his BS in chemical engineering from the University of British Columbia, and his research focuses on model predictive control within the framework of a vinyl acetate process design.

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Brent Young is Associate Professor of Chemical and Petroleum Engineering at the University of Calgary. He received his BE (1986) and his PhD (1993) degrees in chemical and process engineering from the University of Canterbury in New Zealand. His teaching and research interests center on process control and design.

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William Svrcek is Professor of Chemical and Petroleum Engineering at the University of Calgary. He received his BSc (1962) and his PhD (1967) degrees in chemical engineering from the University of Alberta. His teaching and research interests center on process control and design.

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已出版

2001-07-01

期

卷 35 编号 3 (2001): Summer 2001

栏目

Manuscripts