Advanced control of switched reluctance motors (SRMs): A review on current regulation, torque control and vibration suppression
With the increasing environmental concerns, a paradigm shift towards electric and hybrid
electric vehicles is expected. Switched Reluctance Motors (SRMs) have emerged as a …
electric vehicles is expected. Switched Reluctance Motors (SRMs) have emerged as a …
Modular seven-leg switched reluctance motor drive with flexible winding configuration and fault-tolerant capability
This article proposes a modular seven-leg switched reluctance motor (SRM) drive with a
flexible winding configuration and fault-tolerant capability. In traditional SRM drives, the …
flexible winding configuration and fault-tolerant capability. In traditional SRM drives, the …
Direct torque control for switched reluctance motor to obtain high torque–ampere ratio
N Yan, X Cao, Z Deng - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
The direct torque control (DTC) method was introduced into the switched reluctance motor to
reduce its inherent output torque ripple. However, the conventional DTC method produces …
reduce its inherent output torque ripple. However, the conventional DTC method produces …
Unified control for switched reluctance motors for wide speed operation
In this paper, a unified controller for switched reluctance motors is proposed for wide speed
operations. The proposed controller achieves minimum output torque ripple at low and …
operations. The proposed controller achieves minimum output torque ripple at low and …
[HTML][HTML] Control techniques of switched reluctance motors in electric vehicle applications: A review on torque ripple reduction strategies
As electric vehicles (EVs) continue to acquire prominence in the transportation industry,
improving the outcomes and efficiency of their propulsion systems is becoming increasingly …
improving the outcomes and efficiency of their propulsion systems is becoming increasingly …
A hybrid control strategy of hybrid-excitation switched reluctance motor for torque ripple reduction and constant power extension
W Ding, G Liu, P Li - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
A novel hybrid control strategy combining vector control and current continuous conduction
is proposed in this paper to improve the performance of a hybrid-excitation switched …
is proposed in this paper to improve the performance of a hybrid-excitation switched …
Predictive control based constant current injection scheme for characterization of switched reluctance machine
SS Ahmad, G Narayanan - IEEE Transactions on Industry …, 2018 - ieeexplore.ieee.org
A novel constant current injection-based characterization scheme for the switched
reluctance machine (SRM) is proposed here. Unlike conventional characterization methods …
reluctance machine (SRM) is proposed here. Unlike conventional characterization methods …
General Analysis and Vector Control for Doubly Salient Reluctance Machines
H Cheng, J Zhou, Q Hu, J Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, the general analysis and control method for doubly salient reluctance
machines (DSRMs), including typical switched reluctance motor (SRM), mutually coupled …
machines (DSRMs), including typical switched reluctance motor (SRM), mutually coupled …
Continuous rotor position estimation for flux modulated doubly salient reluctance motor drives based on back EMF harmonics
DC-biased sinusoidal current excited flux modulated doubly salient reluctance motor
(FMDRM) drives are developed to reduce the torque ripple and vibration of doubly salient …
(FMDRM) drives are developed to reduce the torque ripple and vibration of doubly salient …
Torque–flux linkage recurrent neural network adaptive inversion control of torque for switched reluctance motor
X Dang, Y Shi, H Peng - IET Electric Power Applications, 2020 - Wiley Online Library
In order to reduce the torque ripple for switched reluctance motor (SRM), the learning error
preprocessing‐based torque–flux linkage recurrent neural network adaptive inversion …
preprocessing‐based torque–flux linkage recurrent neural network adaptive inversion …