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EnglishWe address in this paper the application of a recently proposed MPC performance monitoring method to a rigorously simulated industrial process. The methodology aims at detecting possible sources of suboptimal performance of linear offset-free MPC algorithms by analysis of the prediction error sequence, discriminating between the presence of plant/model mismatch and incorrect disturbance/state estimation, and proposing for each scenario an appropriate corrective action. We focus on the applicability of the method to large-scale industrial systems, which typically comprise a block structure, devising efficient and scalable diagnosis and correction procedures. We also discuss and support the application of this method when the controlled plant shows a mild nonlinear behavior mainly associated with operating point changes. A high-fidelity dynamic simulation model of a crude distillation unit was developed in UniSim® Design and used as representative test bench. Results show the efficacy of the method and indicate possible research directions for further improvements. © IFAC.
| Titolo: | MPC performance monitoring of a rigorously simulated industrial process |
| Autori interni: | |
| Anno del prodotto: | 2013 |
| Handle: | http://hdl.handle.net/11568/516672 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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