Emerson’s Dr. Tiffany Tang presented Novel Idea of Model Predictive Control on Fast Process! First Application at the 2019 Emerson Exchange conference. Here is Tiffany’s abstract: Carbon black formation reaction is a fast process in the order of seconds. An application of model predictive control (MPC) on such a fast process was recommended. MPC was […]
Digital twins provide a simulation of the manufacturing or production process as well as the automation systems which control it. Depending on the level of fidelity of the process models, this digital twin can have many uses. I caught up with Emerson’s Zuwei Jin who shared some of his thoughts around these digital twins. He […]
As electrical power producers and cogeneration facilities must handle the load swings produced on the supply and demand side. Optimizing steam temperature control is one key way to improve the reliability of on boilers and heat recovery steam generators (HRSGs) caused by load swings. I caught up with Emerson’s Jeffery Williams who shared the details […]
The history of model predictive control (MPC) dates back to the early 1970s invented at Shell Oil and was known as Dynamic Matrix Control. MPC was designed at that time to solve largescale control challenges. As technology advanced, this technology could be more widely applied on smaller-scale challenges. At this past 2019 AIChE Spring Meeting, […]
Today is the final day of the 2018 Emerson Exchange conference. The last session I’m attending is on Control Performance with Emerson’s James Beall, Courtney (Eddie) Lane, Dirk Thiele and Aspentech’s Alex Kalafatis. After the panel introduced themselves, Dirk opened the panel with a poll question, “How would you rate the overall control performance in […]
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