Realigned model predictive control of a propylene distillation column
| Autor: | A. I. Hinojosa, B. Capron, Darci Odloak |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering General Chemical Engineering 02 engineering and technology law.invention 020901 industrial engineering & automation 020401 chemical engineering Fractionating column Control theory law State observer lcsh:Chemical engineering 0204 chemical engineering Distillation Model Predictive Control Process Optimization State-space representation business.industry Open-loop controller lcsh:TP155-156 Control engineering Dynamic simulation Model predictive control Propylene distillation business DESTILAÇÃO |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP Brazilian Journal of Chemical Engineering, Volume: 33, Issue: 1, Pages: 191-202, Published: MAR 2016 Brazilian Journal of Chemical Engineering, Vol 33, Iss 1, Pp 191-202 Brazilian Journal of Chemical Engineering v.33 n.1 2016 Brazilian Journal of Chemical Engineering Associação Brasileira de Engenharia Química (ABEQ) instacron:ABEQ |
| Popis: | In the process industry, advanced controllers usually aim at an economic objective, which usually requires closed-loop stability and constraints satisfaction. In this paper, the application of a MPC in the optimization structure of an industrial Propylene/Propane (PP) splitter is tested with a controller based on a state space model, which is suitable for heavily disturbed environments. The simulation platform is based on the integration of the commercial dynamic simulator Dynsim® and the rigorous steady-state optimizer ROMeo® with the real-time facilities of Matlab. The predictive controller is the Infinite Horizon Model Predictive Control (IHMPC), based on a state-space model that that does not require the use of a state observer because the non-minimum state is built with the past inputs and outputs. The controller considers the existence of zone control of the outputs and optimizing targets for the inputs. We verify that the controller is efficient to control the propylene distillation system in a disturbed scenario when compared with a conventional controller based on a state observer. The simulation results show a good performance in terms of stability of the controller and rejection of large disturbances in the composition of the feed of the propylene distillation column. |
| Databáze: | OpenAIRE |
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