TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Rose, Alexander
A1  - Schild, Axel
A1  - Luck, Bennet
A1  - Grotjahn, Martin
T1  - Optimal Control with Linear Integer Programming for Reducing the Energy Consumption of Interdependent Mixing Machines in Foundry
T2  - 2021 22nd IEEE International Conference on Industrial Technology (ICIT), 10-12 March 2021
N2  - 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%.
KW  - model predictive control
KW  - linear integer programming
KW  - scheduling
KW  - dwell-time
KW  - constraint pushing
KW  - soft constraint
KW  - batch-wise parallel process
KW  - foundry
KW  - Modellprädiktive Regelung
KW  - Ganzzahlige lineare Optimierung
KW  - Energieverbrauch
KW  - Mischanlage
KW  - Gießerei
Y1  - 2021
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-20614
SN  - 9781728157306
SB  - 9781728157306
U6  - https://doi.org/10.25968/opus-2061
DO  - https://doi.org/10.25968/opus-2061
SP  - 6
S1  - 6
PB  - IEEE
ER  -