Intelligent Backstepping Control of Permanent Magnet-Assisted Synchronous Reluctance Motor Position Servo Drive with Recurrent Wavelet Fuzzy Neural Network
An intelligent servo drive system for a permanent magnet-assisted synchronous reluctance motor (PMASynRM) that can adapt to the control requirements considering the motor’s nonlinear and time-varying natures is developed in this study. A recurrent wavelet fuzzy neural network (RWFNN) with intelligen...
Main Authors: | Faa-Jeng Lin, Ming-Shi Huang, Yu-Chen Chien, Shih-Gang Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/14/5389 |
Similar Items
-
Intelligent Computed Torque Control With Recurrent Legendre Fuzzy Neural Network for Permanent-Magnet Assisted Synchronous Reluctance Motor
by: Faa-Jeng Lin, et al.
Published: (2023-01-01) -
Robust Adaptive Backstepping Sliding Mode Control for Six-Phase Permanent Magnet Synchronous Motor Using Recurrent Wavelet Fuzzy Neural Network
by: Liu Sheng, et al.
Published: (2017-01-01) -
Voltage Control of IPMSM Servo Drive in Constant Power Region With Intelligent Parameter Estimation
by: Faa-Jeng Lin, et al.
Published: (2022-01-01) -
Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter
by: Yunmei Fang, et al.
Published: (2020-01-01) -
Adaptive Backstepping Terminal Sliding Mode Control of Nonlinear System Using Fuzzy Neural Structure
by: Xiaoyu Gong, et al.
Published: (2023-02-01)