A controller seeks to maintain the measured process variable (PV) at set point (SP) in spite of unplanned and unmeasured disturbances. Since e(t) = SP — PV, this is equivalent to […]
Processes with streams comprised of gases, liquids, powders, slurries and melts tend to exhibit variations in behavior as operating level changes. This, in fact, is the very nature of a […]
Quantifying Dynamic Process Behavior Step 3 of the PID controller design and tuning recipe is to approximate process bump test data by fitting it with a first order plus dead […]
The control objective of the jacketed reactor case study, shown below and discussed in detailed in this article, is disturbance rejection. More specifically, we seek a controller design that will […]
Like the heat exchanger and gravity drained tanks case studies, the jacketed stirred reactor is a self regulating processes. That is, the measured process variable (PV) naturally seeks a steady […]
We have investigated a graphical analysis method for fitting a first order plus dead time (FOPDT) dynamic model to step test data for both the heat exchanger and the gravity […]
We have explored the manual mode (open loop) operation and behavior of the gravity drained tanks process and have worked through the first two steps of the controller design and […]
We introduced the gravity drained tanks process in a previous article and established that it displays a self regulating behavior. We also learned that it exhibits a nonlinear behavior, though […]
Self Regulating vs Integrating Process Behavior This case study considers the control of liquid level in a gravity drained tanks process. Like the heat exchanger, the gravity drained tanks displays […]
Over a series of articles, we generated step test data from a heat exchanger process simulation and then explored details of how to perform a graphical analysis of the plot […]