Economic MPC with Infinite Horizon

Wednesday, October 19, 2011: 10:30 AM
102 D (Minneapolis Convention Center)
Donald J. Chmielewski and Benjamin P. Omell, Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, IL

There is a growing interest in the development of MPC algorithms that replace the traditional quadratic objective function with a purely economic objective. However, implementation of such algorithms can result in unexpected and sometimes pathological closed-loop behavior, including inventory creep-down and bang-bang actuation during active constraint intervals. This paper will illustrate some of these issues. While an infinite horizon formulation seems to be a natural route to avoiding the above myopic behavior, implementation with an infinite horizon presents a number of technical and conceptual challenges. To address these issues, a number of subtle changes to the original problem formulation will be introduced and thus will allow for a computationally robust implementation of the infinite-horizon controller.

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See more of this Session: Optimization and Predictive Control
See more of this Group/Topical: Computing and Systems Technology Division