Model Predictive Control Strategies Performance Evaluation over a Pipeline Transportation System

Autor: José David Ruiz Ariza, Elena Romero-Fandiño, Luis David Díaz-Charris, Javier Jiménez-Cabas, Jorge Cárdenas-Cabrera, Narciso Castro-Charris, Andrés Torres-Carvajal
Rok vydání: 2019
Předmět:
Zdroj: REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa
Journal of Control Science and Engineering, Vol 2019 (2019)
ISSN: 1687-5257
1687-5249
DOI: 10.1155/2019/4538632
Popis: In several industries using pipelines to transport different products from one point to another is a common and indispensable process, especially at oil/hydrocarbon industries. Thus, optimizing the way this process is carried out must be an issue that cannot be stopped. Therefore, the performance of the control strategy implemented is one way of reaching such optimal operating zones. This study proposes using Model Predictive Control strategies for solving some issues related to the proper operation of pipelines. It is proposed a model based on physics and thermodynamic laws, using MATLAB® as the development environment. This model involves four pumping stations separated by three pipeline sections. Three MPC strategies are developed and implemented. Accordingly, the results indicate that a centralized controller with an antiwindup back-calculation method has the best results among the three configurations used.
Databáze: OpenAIRE