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).
Professionals who tune PID controllers using manual methods tend to agree that understanding the Process Gain of their system is of the up-most importance. Among industry practitioners the Process Gain is often referred to as the “how far” or even the “sensitivity” variable and yet these descriptions can be rather vague to beginners.