Nonlinear model predictive control of energy-integrated process systems

Systems & Control Letters, Volume 62, Issue 9, September 2013, Pages 723–731
Nonlinear model predictive control of energy-integrated process systems
Michael Baldea, Cara R. Touretzky
McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton St, Stop C0400, Austin, TX 78712, United States
Abstract
Authors consider a class of process systems with significant energy recovery. Building on their previous results concerning the two time scale dynamics of such systems, they show that the fast component of the dynamics is asymptotically stable in practical cases. They develop a hierarchical control framework using this result, consisting of a linear control system for the fast dynamics and a MISO nonlinear model predictive controller for the slow dynamics, proving that it guarantees exponential stability for the overall system.
They examine the implications of the approach in economic model predictive control and optimal energy management. They illustrate their theoretical developments with a benchmark chemical process application.
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