Author: cyrus@timberbrookfamily.com

  • November 23, 2015
  • cyrus@timberbrookfamily.com

Using the Oscillation Metric to Uncover Tuning Issues

There’s a wealth of information available in most every data historian. The data can be used to evaluate the performance of a plant’s regulatory control systems in general and to

  • October 30, 2015
  • cyrus@timberbrookfamily.com

Common Industrial Applications of PID Control with Filter

Other Questions. Sometimes controller design feels like a choice between the lesser of not two but three evils. P-Only Control is simple and provides a fast response, but the resulting Offset

  • October 22, 2015
  • cyrus@timberbrookfamily.com

Common Industrial Applications of PID Control

A previous post about the Derivative Term focused on its weaknesses. As noted, the primary challenge associated with the use of Derivative and PID Control is the volatility of the

  • October 14, 2015
  • cyrus@timberbrookfamily.com

Common Industrial Applications of PI Control

Studies show that when individuals are given a set of three options they are instinctively biased to prefer the middle one. When this finding is applied to purchasing behavior a

  • October 8, 2015
  • cyrus@timberbrookfamily.com

Common Industrial Applications of P-Only Control

Effective Disturbance Rejection “When your only tool is a hammer, every problem looks like a nail” – a concept attributed to Abraham Maslow. Such can be the situation with process control

  • September 29, 2015
  • cyrus@timberbrookfamily.com

What Is a Set Point Filter?

Names – like looks – can be deceiving. While jumbo shrimp are big relative to other shrimp there’s very little about them that could be considered gargantuan. So there should

  • September 22, 2015
  • cyrus@timberbrookfamily.com

How Can I Correct for Noise Using External Filters?

Choices, choices. In the realm of process control practitioners are regularly forced to choose between competing options. Consider a PID control loop: Should it be tuned for faster disturbance rejection

  • September 15, 2015
  • cyrus@timberbrookfamily.com

How Can I Correct for Noise Using Internal Filters?

Noise is inevitable. To one degree or another it’s evident in the data of most every production process. Sure it can be absent in academic settings and similar lab environments