Model Predictive Control of Batch Temperature
Control modules used for critical phases of reactor operation such as heating, cooling and reacting can be optimized using advanced process control technology to reduce batch cycle time. Temperature control of batch reactors is difficult for conventional proportional-Integral-Derivative (PID) controllers due to the open loop instability of these processes coupled with the long time delays and large time constants. These dynamics are present on various reactor designs involving heating or cooling with jackets, internal coils, or recirculation loops through external heat exchangers. Model Predictive Control (MPC) provides an alternative to PID for use in these control modules to dramatically improve temperature set point tracking, improve product consistency, and reduce batch cycle time. This paper describes the design of an MPC controller that is built to specifically handle the dynamics found on batch reactors as well as the large process disturbances that occur due to exothermic reactions. The results of an application example will be discussed.
There's More to This Story
Get more. You can read the rest of this story and other exclusive content as a Control Global community member. It's FREE, and it’s easy. We just need your name and email address. Then you can read everything you want on our site and even comment on it.
Author: Bill Gough, Sava Kovac, Lynne DeVito, David Quick, WBF
Find more white papers on Batch Management