Neural network-based adaptive dynamic surface control for permanent magnet synchronous motors

J Yu, P Shi, W Dong, B Chen… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This brief considers the problem of neural networks (NNs)-based adaptive dynamic surface
control (DSC) for permanent magnet synchronous motors (PMSMs) with parameter …

Adaptive neural network control using nonlinear information gain for permanent magnet synchronous motors

S You, J Gil, W Kim - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
In this study, an adaptive neural network (NN) control using nonlinear information (NI) gain
for permanent magnet synchronous motors (PMSMs) is proposed to improve control and …

Adaptive position tracking control of permanent magnet synchronous motor based on RBF fast terminal sliding mode control

L Qi, H Shi - Neurocomputing, 2013 - Elsevier
This paper focuses on the performance improvements of the permanent magnet
synchronous motor (PMSM) using vector control. In this paper, a neural adaptive sliding …

On-line adaptive artificial neural network based vector control of permanent magnet synchronous motors

MA Rahman, MA Hoque - IEEE Transactions on Energy …, 1998 - ieeexplore.ieee.org
This paper presents a novel approach of speed control for a permanent magnet
synchronous motor (PMSM) using on-line self tuning artificial neural network (ANN). Based …

Adaptive backstepping control for permanent magnet linear synchronous motor servo drive

CS Ting, YN Chang, BW Shi… - IET Electric Power …, 2015 - Wiley Online Library
This paper presents a position servo control approach for a permanent magnet linear
synchronous motor. The non‐linear motor dynamics is expressed in the backstepping …

Neural-network vector controller for permanent-magnet synchronous motor drives: Simulated and hardware-validated results

S Li, H Won, X Fu, M Fairbank… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper focuses on current control in a permanent-magnet synchronous motor (PMSM).
This paper has two main objectives: the first objective is to develop a neural-network (NN) …

Adaptive terminal sliding mode speed regulation for PMSM under neural-network-based disturbance estimation: A dynamic-event-triggered approach

J Song, YK Wang, WX Zheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The speed regulation control issue of the networked permanent magnet synchronous motor
system is investigated in this article by utilizing a nonsingular terminal sliding mode control …

A permanent-magnet synchronous motor servo drive using self-constructing fuzzy neural network controller

FJ Lin, CH Lin - IEEE Transactions on Energy Conversion, 2004 - ieeexplore.ieee.org
A self-constructing fuzzy neural network (SCFNN) is proposed to control the rotor position of
a permanent-magnet synchronous motor (PMSM) drive to track periodic step and sinusoidal …

An approach to sensorless operation of the permanent-magnet synchronous motor using diagonally recurrent neural networks

TD Batzel, KY Lee - IEEE Transactions on Energy Conversion, 2003 - ieeexplore.ieee.org
Due to the drawbacks associated with the use of rotor position sensors in permanent-
magnet synchronous motor (PMSM) drives, there has been significant interest in the so …

Online self-tuning ANN-based speed control of a PM DC motor

MA Rahman, MA Hoque - IEEE/ASME Transactions On …, 1997 - ieeexplore.ieee.org
This paper presents an online self-tuning artificial-neural-network (ANN)-based speed
control scheme of a permanent magnet (PM) DC motor. For precise speed control, an online …