scholarly journals Adaptive Neural Predictive Control for Permanent Magnet Synchronous Motor Systems With Long Delay Time

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 108061-108069 ◽  
Author(s):  
Bing-Fei Wu ◽  
Chun-Hsien Lin
Keyword(s):  
Permanent Magnet ◽  
Predictive Control ◽  
Delay Time ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Motor Systems ◽  
Neural Predictive Control

scholarly journals Switching Regulation in the Control of 5-Phase Permanent Magnet Synchronous Motor Fed by 3×5 Direct Matrix Converter

2021 ◽  
Vol 23 (1) ◽  
pp. 27-35
Author(s):  
Muhammad Ishaq ◽  
Yanbo Che ◽  
Kifayat Ullah
Keyword(s):  
Permanent Magnet ◽  
Predictive Control ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Matrix Converter ◽  
Control Technique ◽  
Frequency Regulation ◽  
Frequency Variation ◽  
Switching Frequency ◽  
Output Current

Matrix converter is an AC-AC direct power converter comprising of an array of bi-directional switches. It does not require an intermediate DC-link and allows sinusoidal output waveforms with varying amplitudes and frequencies. The configuration of these bi-directional switches decides the number of inputs and outputs of the matrix converter. This research uses a direct matrix converter (DMC) as a phase-changing device that can convert a three-phase AC voltage into a 5-phase AC voltage. The DMC is modulated with the model predictive control algorithm. The output of DMC is fed to a five-phase permanent magnet synchronous motor (PMSM). The model predictive current control technique for DMC is carried out by developing a mathematical model of an input filter and PM motor used as a load. The predictive control of DMC results in sinusoidal output current, and it also enables the frequency variation in the output current. This frequency variation is useful in controlling the speed of the motor connected to the load. After controlling the 5-phase motor, the switching frequency regulation is done to observe its effect on the motor's stator current waveforms. Switching frequency regulation helps to limit the unnecessary switching of DMC. We developed a MATLAB-based Simulink model to study PMSM, and detailed results are presented. The results show that switching regulation can significantly reduce the switching frequency without compromising the current waveform quality.

Anti-Control Research on Permanent Magnet Synchronous Motor System

2011 ◽  
Vol 346 ◽  
pp. 166-171
Author(s):  
Yu Liang Liu ◽  
Juan Yi Liu ◽  
Guo Ping Liu
Keyword(s):  
Control Problem ◽  
Permanent Magnet ◽  
Chaos Synchronization ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Mixing Efficiency ◽  
Lyapunov Stability Theorem ◽  
Motor Systems ◽  
Control Research ◽  
Origin Point

Chaos behavior has many advantages in motor systems such as improving mixing efficiency and it involves with one kind of problem called chaos anti-control. This paper focused on chaos anti-control problem in permanent magnet synchronous motor (PMSM) systems through chaos synchronization. By synchronizing PMSM system with a typical chaotic system, the chaos anti-control problem was studied, where a controller was derived to make the error dynamical system converge at origin point O(0, 0, 0). The theory foundation in point is Lyapunov stability theorem, and the study conclusion was verified by numerical simulations.

Sign in / Sign up

Export Citation Format

Share Document