Article ID Journal Published Year Pages File Type
155902 Chemical Engineering Science 2012 9 Pages PDF
Abstract

In this work, we focus on the problem of monitoring and retuning of low-level proportional-integral-derivative (PID) control loops used to regulate control actuators to the values computed by advanced model-based control systems like model predictive control (MPC). We consider the case where the real-time measurement of the actuation level is unavailable, and thus PID controller monitoring has to be achieved on the basis of process state measurements. A fault detection and isolation (FDI) method involving process models and real-time process measurements is used to monitor the PID control loops and compute appropriate residuals. Once poor tuning is detected and isolated, a PID tuning method based on the estimated transfer function of the control actuator is applied to the isolated, poorly functioning PID controller. An example of a non-linear reactor–separator process operating under MPC with low-level PID controllers regulating the control actuators is used to demonstrate the approach.

► Design of monitoring system for detecting and isolating poorly tuned, low-level proportional-integral-derivative control loop. ► Integration of model-based and data-based monitoring concepts and explicit consideration of process noise. ► Application to a chemical process network example.

Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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