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

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
Main Authors: Faa-Jeng Lin, Yi-Hung Liao, Jyun-Ru Lin, Wei-Ting Lin
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Energies
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

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https://www.mdpi.com/1996-1073/14/2/346

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