TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Rose, Alexander
A1  - Seel, Alexander
A1  - Luck, Bennett
A1  - Grotjahn, Martin
T1  - LSTM water prediction for feedforward control of moulding sand compressibility
JF  - IFAC-PapersOnLine
N2  - This paper presents a databased approach for improving the precision of the moulding sand compressibility in the moulding sand mixer of a foundry. In this approach, the deviation between the measured and the target compressibility is reduced by controlling the water addition. The complex dynamic behaviour of the process variables and their influence on the water addition is modelled with a long short-term memory (LSTM) network. Another LSTM network as control path simulates the impact of the water addition on the compressibility. Simulation and experimental results with the applied model for water prediction in a feedforward control yield relevant improvements of the moulding sand compressibility.
KW  - neural control
KW  - neural network model
KW  - industrial production system
KW  - prediction methods
KW  - intelligent control
KW  - batch control
KW  - target control
KW  - feedforward control
Y1  - 2020
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-19276
U6  - https://doi.org/10.25968/opus-1927
DO  - https://doi.org/10.25968/opus-1927
VL  - 53
IS  - 2
SP  - 10417
EP  - 10422
ER  -