Using MATLAB/Simulink for Data Acquisition and Control


  • N.L. Ricker University of Washington


MATLAB's graphical simulation interface is adapted for real-time data acquisition and control.  This allows students to incorporate Simulink's powerful control and signal processing functions into a control strategy for a physical system.  A sampling period of one second or greater is required, but this is compatible with typical process control lab experiments.  Advanced techniques, such as Model Predictive Control, are easy to implement.  Other advantages and disadvantages of the approach are discussed.  The software is available at no charge for classroom use.

Author Biography

N.L. Ricker, University of Washington

Larry Ricker received his BS in chemical engineering from Michigan in 1970 and an MS from Berkeley in 1972. He worked as a systems analyst for Air Products and Chemicals until 1975, when he returned to Berkeley and was awarded the PhD in 1978. He then joined the University of Washington faculty of chemical engineering, where he specializes in process monitoring, control, and optimization- with an emphasis on Model Predictive Control.