Model-based Tuning Methods For Pid Controllers

The manner in which a measured process variable responds over time to changes in the controller output signal is fundamental to the design and tuning of a PID controller . The best way to learn about the dynamic behavior of a process is to perform experiments, commonly referred to as "bump tests." Critical to success is that the process data generated by the bump test be descriptive of actual process behavior . Discussed are the qualities required for "good" dynamic data and methods for modeling the dynamic data for controller design. Parameters from the dynamic model are not only used in correlations to compute tuning values, but also provide insight

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