Finally, when we're tuning in, it's important to document your work. This means capturing and recording screenshots and trend graphs from both open-loop and closed-loop tests.
If you design processes or control loops, you may need to find reasonable controller configurations or parameters before you can make any adjustments. If you face
The venerable and "mythical" Proportional-Integral-Derivative (PID) algorithm can solve a variety of feedback control problems, but not all. Loops using PID controllers are by far the most common method.
In the post I showed you 4 of the 9 tools for tuning PID loops that I always use (with good results), which are: Process Historian Spreadsheet or Excel (PID Tuning)
A control loop tuner (Control Engineer, Automation Technician, Instrument Technician, etc.) must be proficient in the use of a variety of tools to be effective in any control loop.
If I count the times I've been asked: "Jose Carlos, what do you prefer or use: a quantitative PID tuning method (Ziegler-Nichols for example) or 'Trial and Error'?"... well, I think that
Knowing which control action we will focus on first when tuning is a matter of understanding the characteristics of the process (identifying whether it is self-regulating, integrative,
In contrast to quantitative tuning procedures where the numerical values for the controller's PID parameter settings are obtained through data collection and
Simply put, self-regulating processes tend to be first-order: this means they only have one delay mechanism. However, some complex processes generally consist of subprocesses.,