Fuzzy event-triggered super twisting sliding mode control for position tracking of permanent magnet synchronous motors under unknown disturbances
In this article, we propose the fuzzy event-triggered super twisting sliding mode control
(STSMC) approach for improving the position tracking performance and reducing the …
(STSMC) approach for improving the position tracking performance and reducing the …
Chattering attenuation disturbance observer for sliding mode control: Application to permanent magnet synchronous motors
In existing sliding mode control (SMC) methods, a disturbance observer (DOB) is employed
to achieve disturbance rejection and reduce chattering, which is a major disadvantage …
to achieve disturbance rejection and reduce chattering, which is a major disadvantage …
An Improved Super-Twisting Sliding Mode Single-Loop Control with Current-Constraint for PMSM Based on Two-Time Scale Disturbance Observer
Z Zhang, X Liu - IEEE Transactions on Transportation …, 2023 - ieeexplore.ieee.org
In this article, an improved super-twisting sliding mode control (ISTSMC) strategy is
proposed for permanent magnet synchronous motors (PMSMs) with the consideration of …
proposed for permanent magnet synchronous motors (PMSMs) with the consideration of …
Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems
Y Wang, Y Liu, J Ding, D Wang - Engineering Applications of Artificial …, 2024 - Elsevier
This paper investigates the accurate servo position control of the permanent magnet
synchronous motor (PMSM)-driven system under varying external disturbance and unknown …
synchronous motor (PMSM)-driven system under varying external disturbance and unknown …
Discrete-time Adaptive Fuzzy Event-triggered Control for PMSMs with Voltage Faults via Command Filter Approximator
K Zhao, X Chen, J Liu, J Yu - IEEE Transactions on Power …, 2024 - ieeexplore.ieee.org
Permanent magnet synchronous motor (PMSM) systems regarded as a prominent
component of modern power drive systems have been widely applied. For the reason that …
component of modern power drive systems have been widely applied. For the reason that …
Implementation of various neural-network-based adaptive speed PI controllers for dual-three-phase PMSM
Z Yin, H Zhao - IECON 2022–48th Annual Conference of the …, 2022 - ieeexplore.ieee.org
This paper provides a preliminary study on applying Neural Network (NN) based
proportional and integral (PI) controllers with the positional PI principle. This method is set …
proportional and integral (PI) controllers with the positional PI principle. This method is set …
Fixed-Time Generalized Active Disturbance Rejection with Quasi-Resonant Control for PMSM Speed Disturbances Suppression
X Liu, Y Deng, J Wang, H Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Robust and smooth speed control is very important for permanent magnet synchronous
motor (PMSM) drives. However, aperiodic and periodic disturbances generally exist in …
motor (PMSM) drives. However, aperiodic and periodic disturbances generally exist in …
Extended Two-State Observer-Based Speed Control for PMSM With Uncertainties of Control Input Gain and Lumped Disturbance
J Xiong, X Fu - IEEE Transactions on Industrial Electronics, 2023 - ieeexplore.ieee.org
In this article, an extended two-state observer (ETSO) is proposed for the permanent magnet
synchronous motor (PMSM) with the uncertainties of system parameters and load torque …
synchronous motor (PMSM) with the uncertainties of system parameters and load torque …
An edge intelligence-based model deployment method for CNC systems
Z Zhou, D Yu, M Chen, Y Qiao, Y Hu, W He - Journal of Manufacturing …, 2024 - Elsevier
Intelligent manufacturing has garnered widespread attention due to its potential to enhance
production efficiency and product quality. However, effective resource management remains …
production efficiency and product quality. However, effective resource management remains …
Composite control based on FNTSMC and adaptive neural network for PMSM system
In this paper, a novel fixed-time non-singular terminal sliding mode control (NFNTSMC)
method with an adaptive neural network (ANN) is proposed for permanent magnet …
method with an adaptive neural network (ANN) is proposed for permanent magnet …