A Closed-loop Dynamic Rescheduling Strategy Applied to Chemical Production Problems

Autor:	V. V. Murata, Luís Cláudio Oliveira-Lopes, Sérgio Mauro da Silva Neiro, Frederico S. de Paula
Rok vydání:	2018
Předmět:	Mathematical optimization Model predictive control Computer science Scheduling (production processes) Performance objective Closed loop Quantitative model Chemical production Process operation
DOI:	10.1016/b978-0-444-64241-7.50223-8
Popis:	This work presents a rescheduling strategy based on a model predictive closed-loop algorithm with shrinking horizon based on uncertain models. This formulation can address most of the rescheduling needs of a chemical production operation. The strategyis based on a quantitative model to forecast the effects of process operation changes and disturbances in the production goal by using uncertain models. The studied problem is based on a model predictive control algorithm that uses a set of state-space models to describe all possible scenarios with uncertain properties. It also evaluates the properties and features of the closed-loop rescheduling algorithm based on closed-loop performance objectives. A comparison with standard scheduling strategies is performed showing the great potential of the closed-loop dynamic rescheduling algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::baef817404cefde4ca58223761a52eca https://doi.org/10.1016/b978-0-444-64241-7.50223-8 Zobrazit plný text záznamu