Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7110469 | Control Engineering Practice | 2018 | 13 Pages |
Abstract
Model predictive controllers incorporate step response models for pairings of independent and dependent variables. Motivated by the fact that it may be time-consuming to conduct open-loop experiments to identify the step response models, the paper assesses the performance of closed-loop system identification on MPC-equipped plants, using both simulated and actual plant data. Pure feedback closed-loop system identification is shown to be effective for an identifiable simulated system and an industrial hydrogen production plant. The use of closed-loop system identification as a mechanism for monitoring model quality in MPC implementations may enhance the long-term sustainability of the implementation.
Related Topics
Physical Sciences and Engineering
Engineering
Aerospace Engineering
Authors
Ali Esmaili, Jianyi Li, Jinyu Xie, Joshua D. Isom,