Change: Something that Sports and Manufacturing have in Common
Tuning a production facility’s numerous PID control loops should be standard operating procedure at the start of a new season. It’s well known that PID performance can have a significant impact on production output and efficiencyRead More
Six Steps to Improved PID Tuning
Pulse is Okay, but Doublet is Better
The Pulse and Doublet tests both allow practitioners to observe the process moving in opposite directions, but which is better?Read More
What are the differences between Industry 4.0, Big Data and the IIoT?
A few buzzwords seem to dominate today’s manufacturing trade press. Big Data, the Industrial Internet of Things (IIoT), and Industry 4.0 are a few of the big ideas that are currently crowding out other topics. Unfortunately, all too often these three terms are being used interchangeably and that routinely results in confusion.Read More
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.Read More
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.Read More
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.Read More
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.Read More
Fewer Metrics Leads to Better Results
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?Read More
Rockwell PID Execution Time: the Difference Between Continuous and Periodic Tasks
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).Read More