Blog
What is data backfilling?
Manufacturing facilities across the process industries are increasing their adoption of plant-wide monitoring and diagnostic solutions. Essentially, they’re seeking to capitalize on existing investments in data as a means of improving production efficiency and throughput. One type of diagnostic solution in particular that is seeing a significant uptick in adoption is Control Loop Performance Monitoring (CLPM) technology.
The “D” in PID Stands for: Do Not Use (Sometimes)!
The Derivative Term is not only the last letter in PID (i.e. Proportional-Integral-Derivative) it’s also the most maligned of the three. With its big kick, the Proportional Term provides an immediate correction for changes in control and it is clearly the star of the PID controller. So too, the Integral Term is credited with its tenacious correction of Offset and for steadily pushing a loop back to Set Point. And then there’s Door #3: The lowly Derivative Term. Derivative works to counteract the rate of change of the process variable.
What should you consider when tuning PID controllers?
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.
What should you expect from Process Control training?
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.