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
What is the Purpose of a PID Controller’s Integral Term? Why is PI Control So Widely Used in Industry?
In the realm of process control it makes complete sense that the primary goal is - you guessed it - to control the process. For decades the PID controller has
What is On-Off Control?
On-Off Control is not a highly sophisticated control method. Even so, examples of its practical, everyday use can be found all around. Look no further than the appliances in your
Default Out-of-the-Box Settings Prevent the PID Controller from Achieving its Goal
Tuning a PID controller doesn't have to be hard. Whether a practitioner chooses to tune control loops manually or with the help of software, the procedure is relatively straight forward
How Does the Derivative Term Affect PID Controller Performance?
Derivative is the third term within the PID. In mathematical terms the word derivative is defined as the slope of a curve. Seen in the context of strip chart data
How Do I Calculate Gain? What Is the Difference Between Process Gain and Controller Gain?
Among practitioners who tune PID control loops manually most note their focus on calculating the Gain. Process Gain is a model parameter whereas Controller Gain is a tuning parameter. The
What is Model-Predictive Control?
Model-Predictive Control (MPC) is advanced technology that optimizes the control and performance of business-critical production processes. So is Control Loop Performance Monitoring (CLPM) software. But if both help practitioners to