Spreadsheet Procedure for Simulating Setpoint Tracking in SISO by Dynamic Matrix Control

Authors

  • Larry K. Jang California State University • Long Beach, CA 90840-­5103
  • Roger C. Lo California State University • Long Beach, CA 90840-­5103

Abstract

The objective of this work is to present a spreadsheet tool that illustrates an ideal case of dynamic matrix control (DMC) calculations. The ideal case presented in this work is a hypothetical single‐input‐single‐output DMC control system for setpoint tracking, in the absence of disturbance and mismatch between the measured and predicted process variable, at various move suppression coefficients. Students in undergraduate process control class who followed the procedure to build the spreadsheet would gain a good basic understanding of DMC.

Author Biographies

Larry K. Jang, California State University • Long Beach, CA 90840-­5103

Larry K. Jang is professor of chemical engineering at California State University, Long Beach. He earned his B.S. and M.S. from National Taiwan University and Ph.D. from University of Southern California, all in chemical engineering. His area of research in recent years is remote automatic control using LabVIEW technology.


Roger C. Lo, California State University • Long Beach, CA 90840-­5103

Roger C. Lo is an assistant professor in the Department of Chemical Engineering at California State University, Long Beach. He received his Ph.D. in chemical engineering from Texas A&M University. Roger teaches undergraduate and graduate required courses (fluids, engineering mathematics, and transport phenomena) and also numerical analysis using Excel and MATLAB for chemical engineering calculations. Roger’s research interest focuses on microfluidics and its applications at the interface of biology, chemistry, and engineering, such as microreactors, miniaturized high-throughput chemical/biological assays, and portable instruments for environmental analysis and monitoring.


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Published

2015-07-15

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Manuscripts