Interactive feedback control of flow rate and temperature with LabVIEW-based control package

This work presents a systematic approach of feedback controller optimization using an established control algorithm based on LabVIEW operating environment in the Chemical Engineering unit operations laboratory at California State University, Long Beach. The focus of this work is to obtain the process dynamic model and model parameters of the temperature-control component of the unit. Also, standard control theories were applied to obtain controller parameters. The process reaction curve method was adopted, and closed-loop feedback tests were performed to fine tune the control parameters. The data gathered by the feedback control program is relayed to a process design tool to gain parameters of interest. Finally, an innovative approach using cascade control for equipment's temperature response was examined by manipulating flow rate set-point.