Events

Manual PID tuning remains common—and Control Station even teaches a repeatable, calculator-based approach for estimating models and tuning coefficients. But relying on trend estimates and slope calculations can be imprecise, time-consuming, and disruptive. Without visibility into the controller’s predicted response, tuning often requires multiple iterations that slow down operations and impact production.

Innovations in process modeling effectively eliminate these challenges by generating accurate models from real operating data, even when noisy or oscillatory, and by validating PID performance before parameters are put into service.

Intended for individuals responsible for PID loop tuning, this session will equip you to:

1) Understand why manual tuning frequently leads to inaccurate results, repeated adjustments, and prolonged performance disruptions.
2) Learn how an innovative modeling approach develops reliable models and optimal tuning parameters—even from imperfect data.
3) See how modeling eliminates issues by simulating the PID response prior to implementation, ensuring first-time-right optimization.

Discover the hidden costs of manual tuning and how NSS accelerates plant-wide control improvement. Register now to streamline your tuning workflow and improve process performance.