Development of an Evaluation Module to support the application of Multi-Stage NMPC in Chemical Processes = Desarrollo de un módulo de evaluación para soportar la aplicación de NMPC multi-etapa en procesos químicos
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- Año de publicación 2018
- Idioma Inglés
- Descripción
- In the last years Nonlinear Model Predictive Control (NMPC) has received an increasing attention in academic research due to its ability to achieve optimal process operation of nonlinear processes. NMPC has been applied to several pilot plants; however major obstacles like plant model mismatch and disturbances have to be overcome in order to allow industrial applications. Multi-stage NMPC (MSNMPC) is a robust NMPC approach which achieves optimal process operation under uncertainties of the process model. A complete workflow from simulation studies to real application of MSNMPC has been developed to overcome the mentioned obstacles. However, explicit knowledge from the fields of mathematics, optimization theory, and process control is required. Therefore, efficient methods for evaluation of MSNMPC that support the transition from simulation to application in the real process are required. In this master thesis a module that applies several evaluation methods to offline simulations of MSNMPC is developed. The effectiveness of the module is shown in the case study of an industrial batch polymerization reactor.
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Citación recomendada (normas APA)
- Felipe Andrés Torres Quintero, "Development of an Evaluation Module to support the application of Multi-Stage NMPC in Chemical Processes = Desarrollo de un módulo de evaluación para soportar la aplicación de NMPC multi-etapa en procesos químicos", Dortmund (Alemania):-, 2018. Consultado en línea en la Biblioteca Digital de Bogotá (https://www.bibliotecadigitaldebogota.gov.co/resources/2871943/), el día 2024-05-21.