In an industrial plant, tuning PID loops is a time-consuming and difficult job. To achieve optimal results, it’s essential to prevent the PID loops from oscillating or producing undesired overshoot. However, finding the ideal set of parameters for each specific situation is almost an art — it requires experience.
There are many different methods to tune your PID loops: trial and error, Ziegler-Nichols, Cohen-Coon, or model-based PID tuning with PID tuning software. If you focus on understanding the PID tuning process instead of just using your gut-feeling, you provide more added value to your plant operations. Learn everything you need to know in our PID tuning Guide.
In many industries, PIDs are the most widely used feedback controllers. Finding the right P, I, and D parameters enables optimal performance.
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When PID parameters aren’t tuned correctly, your control loop can show undesired oscillations and/or overshoot. Therefore, it’s vital to choose the right set of PID parameters to achieve optimal plant performance.
The concept of PID tuning might be simple, but the underpinning PID control mathematics are complex. There are three main approaches, each with various tuning methods providing different results.
Approaching PID tuning from a different angle:
What’s the best way to tune PID loops? We give an in-depth explanation of all the benefits and limitations of heuristic, rule-based, model-based PID tuning based on a common example.
Other methods:
The ultimate goal is to set the PID parameters right the first time. This is nearly impossible without PID tuning software. Tuning software allows you to specify your engineering objectives to obtain the perfect PID control-loop.
Further reading: