Interior Permanent Magnet Synchronous Motor Drive System with Machine Learning-Based Maximum Torque per Ampere and Flux-Weakening Control

An interior permanent magnet synchronous motor (IPMSM) drive system with machine learning-based maximum torque per ampere (MTPA) as well as flux-weakening (FW) control was developed and is presented in this study. Since the control performance of IPMSM varies significantly due to the temperature var...

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Bibliographic Details

Published in:	Energies
Main Authors:	Faa-Jeng Lin, Yi-Hung Liao, Jyun-Ru Lin, Wei-Ting Lin
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Subjects:	interior permanent magnet synchronous motor (IPMSM) maximum torque per ampere (MTPA) control flux-weakening (FW) control Petri probabilistic fuzzy neural network with an asymmetric membership function (PPFNN-AMF) adaptive complementary sliding mode (ACSM) control
Online Access:	https://www.mdpi.com/1996-1073/14/2/346