Intelligent Computed Torque Control With Recurrent Legendre Fuzzy Neural Network for Permanent-Magnet Assisted Synchronous Reluctance Motor

Intelligent Computed Torque Control With Recurrent Legendre Fuzzy Neural Network for Permanent-Magnet Assisted Synchronous Reluctance Motor

The goal of this research is to develop an intelligent controlled permanent-magnet assisted synchronous reluctance motor (PMASynRM) drive system by utilizing an intelligent computed torque control with recurrent Legendre fuzzy neural network (ICTCRLFNN), in order to adjust the nonlinear and time-var...

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Bibliographic Details
Main Authors: Faa-Jeng Lin, Ming-Shi Huang, Chung-Yu Hung, Yu-Chen Chien
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Permanent-magnet assisted synchronous reluctance motor (PMASynRM)
computed torque control (CTC)
intelligent computed torque control using recurrent Legendre fuzzy neural network (ICTCRLFNN)
maximum torque per ampere (MTPA)
Online Access:https://ieeexplore.ieee.org/document/10131686/

Internet

https://ieeexplore.ieee.org/document/10131686/

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