Learning-based model predictive current control for synchronous machines: an LSTM approach

DOI10.1016/j.ejcon.2022.100663zbMath1501.93047OpenAlexW4282918125MaRDI QIDQ2095284

Issa Hammoud, Sebastian Hentzelt, Ralph Kennel, Thimo Oehlschlaegel

Publication date: 9 November 2022

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2022.100663

zbMATH Keywords

model predictive controldata-driven modellingsynchronous machinescurrent controllong-short term memory neural networks

Mathematics Subject Classification ID

Model predictive control (93B45)

Uses Software

• CasADi
• SplinePak
• TensorFlow
• Keras
• Adam
• GitHub

Cites Work

• CasADi
• CasADi: a software framework for nonlinear optimization and optimal control
• Spline Functions
• A fully automated recurrent neural network for unknown dynamic system identification and control

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