Knowing how to tune a PID loop while satisfying its unique control objective is critical. Fortunately there is a group of descriptive statistics that characterizes a controller’s core performance attributes and that helps you to get the tunings right each time. Below are four (4) KPIs that process control experts frequently use when determining if their new PID tuning parameters are right for the job.
Searching for meaningful Industrial Professional Development courses can be frustrating. It’s generally understood that Process Control is an important aspect of a practitioner’s job responsibilities.
Big Data and IIoT have captured the automation industry’s imagination. A key take-away from all that’s been written is that plant data holds the key to making many production processes safer, more efficient, and more profitable. While there’s growing evidence that Big Data and IIoT are delivering meaningful value, some scientists have begun to wonder if there is a limit to the amount of information that is actually helpful. They’ve posed the question: At what point does information become detrimental to the people who rely on it?
Have you ever seen an Integral Term on a PID controller that seems an order of magnitude larger or smaller than what should be used? Often, the issue stems from the method in which logic is executed on the Process Automation Controller (PAC).