Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines

Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines

Multiobjective hyperparameter optimization is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines. The proposed framework allows to systematically identify Pareto optimal ANNs with respect to multiple (partl...

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Bibliographic Details
Main Authors: Niklas Monzen, Florian Stroebl, Herbert Palm, Christoph M. Hackl
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Artificial neural network (ANN)
hyperspace exploration (HSE)
multiobjective hyperparameter optimization (MO-HPO)
optimal feedforward torque control (OFTC)
reluctance synchronous machine (RSM)
Online Access:https://ieeexplore.ieee.org/document/10411011/

Internet

https://ieeexplore.ieee.org/document/10411011/

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