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Optimal Control with Linear Integer Programming for Reducing the Energy Consumption of Interdependent Mixing Machines in Foundry

  • This paper presents a novel approach for modelling the energy consumption of the coupled parallel moulding sand mixers of a foundry as an optimal control problem. The minimization of energy consumption is optimized by scheduling the mixing processes in a linear integer programming scheme. The sand flow through the foundry’s sand preparation is characterized by a physical model. This model considers the sand demand of the moulding machine as disturbance, the stored sand masses in the mixer hoppers and machine hoppers, respectively. The novel approach of handling dwell-times for dosing, mixing and transport processes using dead-time systems and constraint pushing allows the application of a linear model. The formulation of the optimal control problem aims at real-time application as model predictive control at the production plant. Initial application results indicate an improvement in energy consumption of approximately 8%.

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Author:Alexander Rose, Axel Schild, Bennet Luck, Martin GrotjahnORCiDGND
URN:urn:nbn:de:bsz:960-opus4-20614
DOI:https://doi.org/10.25968/opus-2061
DOI original:https://doi.org/10.1109/ICIT46573.2021.9453606
ISBN:9781728157306
Parent Title (English):2021 22nd IEEE International Conference on Industrial Technology (ICIT), 10-12 March 2021
Publisher:IEEE
Document Type:Conference Proceeding
Language:English
Year of Completion:2021
Publishing Institution:Hochschule Hannover
Release Date:2021/08/30
Tag:batch-wise parallel process; constraint pushing; dwell-time; foundry; linear integer programming; model predictive control; scheduling; soft constraint
GND Keyword:Modellprädiktive Regelung; Ganzzahlige lineare Optimierung; Energieverbrauch; Mischanlage; Gießerei
Page Number:6
Institutes:Fakultät II - Maschinenbau und Bioverfahrenstechnik
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Licence (German):License LogoUrheberrechtlich geschützt