Model Predictive Control (MPC) is the most commonly advanced control technique applied in the chemical process industries. In this Webinar, basic feedback control principles are reviewed using a simple surge tank example. Important challenges in petroleum refining and other large-scale chemical processes, which largely led to the development of MPC algorithms, are discussed. Next, the fundamental framework for MPC, based on optimization concepts, is developed, and low-order, constrained examples are used to illustrate the main points. Finally, selected MPC applications, including the development of a closed-loop artificial pancreas, are presented.
Webinar content is available with the kind permission of the author(s) solely for the purpose of furthering AIChE’s mission to educate, inform and improve the practice of professional chemical engineering. All other uses are forbidden without the express consent of the author(s). For permission to re-use, please contact chemepermissions@aiche.org.
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