Artificial Neural Network Based Optimal Feedforward Torque Control of Interior Permanent Magnet Synchronous Machines: A Feasibility Study and Comparison with the State-of-the-Art

Artificial Neural Network Based Optimal Feedforward Torque Control of Interior Permanent Magnet Synchronous Machines: A Feasibility Study and Comparison with the State-of-the-Art

A novel Artificial Neural Network (ANN) Based Optimal Feedforward Torque Control (OFTC) strategy is proposed which, after proper ANN design, training and validation, allows to analytically compute the optimal reference currents (minimizing copper and iron losses) for Interior Permanent Magnet Synchr...

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Bibliographic Details
Main Authors: Max A. Buettner, Niklas Monzen, Christoph M. Hackl
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
electrical drive control system
operation management
optimal feedforward torque control
optimal reference current computation
transformer-like nonlinear machine model
artificial neural network
Online Access:https://www.mdpi.com/1996-1073/15/5/1838

Internet

https://www.mdpi.com/1996-1073/15/5/1838

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