scholarly journals A Review of Synchronous Reluctance Motor-Drive Advancements

2021 ◽  
Vol 13 (2) ◽  
pp. 729
Author(s):  
Hamidreza Heidari ◽  
Anton Rassõlkin ◽  
Ants Kallaste ◽  
Toomas Vaimann ◽  
Ekaterina Andriushchenko ◽  
...  
Keyword(s):  
Motor Control ◽  
Control Method ◽  
Control Strategies ◽  
Motor Drive ◽  
Control Methods ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Recent Developments ◽  
Drive Systems

Recent studies show that synchronous reluctance motors (SynRMs) present promising technologies. As a result, research on trending SynRMs drive systems has expanded. This work disseminates the recent developments of design, modeling, and more specifically, control of these motors. Firstly, a brief study of the dominant motor technologies compared to SynRMs is carried out. Secondly, the most prominent motor control methods are studied and classified, which can come in handy for researchers and industries to opt for a proper control method for motor drive systems. Finally, the control strategies for different speed regions of SynRM are studied and the transitions between trajectories are analyzed.

Analysis Performance of SRM Based on the Novel Dependent Torque Control Method

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8203
Author(s):  
Piotr Bogusz ◽  
Mariusz Korkosz ◽  
Jan Prokop ◽  
Mateusz Daraż
Keyword(s):  
Motor Control ◽  
Natural Frequencies ◽  
Control Method ◽  
Torque Control ◽  
The Novel ◽  
Control Methods ◽  
Vibration Acceleration ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Source Current

This paper presents a description and the results of simulations and laboratory tests of proposed methods for dependent torque control in a Switched Reluctance Motor (SRM). The proposed methods are based on Dependent Torque Motor Control (Rising Slope), DTMC(RC), and Dependent Torque Motor Control (Falling Slope), DTMC(FC). The results of these studies were compared with those on the Classical Torque Motor Control (CTMC) method. Studies were conducted for each of the analyzed control methods by determining the efficiency of the drive and the RMS of the source current and analyzing the vibrations generated for each of the control methods. The harmonics of the phase currents, which caused an increase in the level of vibrations generated, were determined. The usefulness of the proposed methods for controlling SRMs was assessed based on simulations and experiments. Additionally, the natural frequencies of the stator of the tested SRM were determined by a simulation using the Ansys Maxwell suite. The levels of vibration acceleration generated by the SRM were compared for the considered control methods.

Computer aided models for the characterization of synchronous reluctance motor drive systems

1999 ◽  
Vol 14 (4) ◽  
pp. 1459-1464 ◽  
Author(s):  
A.A. Arkadan ◽  
F.N. Isaac ◽  
A.A. Russell ◽  
A. El-Antably ◽  
N.A. Demerdash
Keyword(s):  
Motor Drive ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Computer Aided ◽  
Drive Systems

scholarly journals A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1743 ◽  
Author(s):  
Cheng-Kai Lin ◽  
Jen-te Yu ◽  
Hao-Qun Huang ◽  
Jyun-Ting Wang ◽  
Hsing-Cheng Yu ◽  
...  
Keyword(s):  
Vector Model ◽  
Motor Drive ◽  
Model Free ◽  
Synchronous Reluctance Motor ◽  
Voltage Vector ◽  
Current Controller ◽  
Reluctance Motor ◽  
Drive Systems

Decoupling Control for Bearingless Synchronous Reluctance Motor Based on Fuzzy Inverse Model

2014 ◽  
Vol 529 ◽  
pp. 524-528
Author(s):  
Zhang Li ◽  
Huang Qiu Zhu ◽  
Run Zhang Zeng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Method ◽  
Dynamic Performance ◽  
Inverse Model ◽  
Decoupling Control ◽  
Dynamic Decoupling ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Motor Control System

For the bearingless synchronous reluctance motor (BSRM) is a multivariable, strong coupling, multi-input and multi-output system, based on the adaptive inverse control theory, a decoupling control method based on the T-S fuzzy inverse model identification is put forward in this paper. According to the input and output information of the system, a fuzzy inverse model of the motor control system is established, then making the inverse model and the original control system in series forms pseudo linear hybrid system to realize the approximate linearization and dynamic decoupling of the motor control system. Building the composite system and proceeding research in the Matlab/Simulink environment, the simulation results show that the control strategy can realize dynamic decoupling among the electromagnetic torque subsystem and the radial suspension force subsystem and among thex- andy-direction of the suspension force, and with excellent static and dynamic performance and adaptive ability.

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