| Controller performance monitoring forms the backbone of any automation system and hence an integral part of process control software. This work deals with some practical issues relating to computation of performance monitoring tools. A method is devised to automatically detect Integrated White Noise (IWN) type disturbance in a system and compute a performance metric for such cases. A performance metric to measure the set-point tracking performance of a controller is also defined.; The conventional performance indices give a good estimate of the controller performance, but fail to tell the benefits of improving the performance. A methodology is developed to integrate controller performance and the economic impact of improving the performance via the Economic Performance Index (EPI).; Presence of stiction in control valve induces oscillations in the system and cause poor performance. A novel method to quantify stiction using a two-parameter stiction model also is presented in this work. |
