Bumping a process is a standard requirement when tuning a PID controller – whether you tune manually or with the help of software. And, either way, applying industry best-practices will save you significant time and money.
Not all approaches to PID controller tuning are equal. Regardless of your approach a key to successfully tuning a controller is modeling the process dynamics accurately.
Non-Steady State (NSS) Modeling is the ability to calculate an accurate process model when the associated data is oscillatory, is noisy, or has extensive Dead-Time. It’s a highly valuable capability when tuning difficult PID loops, and it was pioneered by Control Station.
Techniques for modelling a process’ dynamics and calculating tuning parameters are widely available. These approaches enable practitioners to tune controllers consistently and with reasonable results. At Control Station we know a little about this topic as we’ve been sharing these techniques for decades and innovating software-based solutions that deliver even better results.