Virtual current compensation-based quasi-sinusoidal-wave excitation scheme for switched reluctance motor drives
Q Sun, G Lyu, X Liu, F Niu, C Gan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we propose a novel quasi-sinusoidal-wave excitation scheme for switched
reluctance motors (SRMs) to minimize torque ripple fully considering the high-order …
reluctance motors (SRMs) to minimize torque ripple fully considering the high-order …
Model Predictive Control Strategies in Switched Reluctance Motor Drives–An Overview
Model predictive control (MPC) is an advanced control technique with salient features, such
as simplicity applied in multivariable systems, fast-transient response, inclusion of …
as simplicity applied in multivariable systems, fast-transient response, inclusion of …
A review on control techniques of switched reluctance motors for performance improvement
Switched reluctance motors are a potential competitor to permanent magnet motors and
induction motors for various industrial applications. The switched reluctance motors without …
induction motors for various industrial applications. The switched reluctance motors without …
A novel model predictive torque control of srms with low measurement effort
This article presents a low-measurement effort and less storage space but an effective
method to reduce the torque ripple. First, a torque-balanced measurement method is …
method to reduce the torque ripple. First, a torque-balanced measurement method is …
An improved model predictive torque control for switched reluctance motors with candidate voltage vectors optimization
W Ding, J Li, J Yuan - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
This article proposes an improved model predictive torque control (MPTC) strategy for
switched reluctance motor (SRM) drives with candidate voltage vectors (CVVs) optimization …
switched reluctance motor (SRM) drives with candidate voltage vectors (CVVs) optimization …
A composite model predictive control method of SRMs with PWM-based signal for torque ripple suppression
In this article, a novel composite predictive control using PWM control signals is proposed for
the torque ripple suppression of the switched reluctance machine (sRm). A PWm modulation …
the torque ripple suppression of the switched reluctance machine (sRm). A PWm modulation …
Indirect Instantaneous Torque Control for Switched Reluctance Motor Based on Improved Torque Sharing Function
Switched reluctance motors (SRMs) have recently gained notable interest in industrial
applications. Yet, their inherent torque ripple poses a significant impediment, limiting the …
applications. Yet, their inherent torque ripple poses a significant impediment, limiting the …
NCV-PWM method for the phase current reconstruction with DC link single sensor
The DC link current sampling with a single sensor is a promising solution in the electric drive
field due to its low cost and small volume. However, limited by the minimum sampling time …
field due to its low cost and small volume. However, limited by the minimum sampling time …
An Improved Model Predictive Torque Control of Switched Reluctance Motor Based on Sector Adaptive Allocation Technology
P Ren, J Zhu, Y Liu, Y Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In view of the disadvantages of negative torque and large torque ripple under different
operating conditions in the traditional model-predictive torque control (MPTC), an improved …
operating conditions in the traditional model-predictive torque control (MPTC), an improved …
Model predictive torque control of switched reluctance machines with torque sharing function and PWM control signals based on linear polynomial fitting
L Ge, J Guo, C Gong, G Zhang, X Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the combination of torque sharing function (TSF) and model predictive torque control
(MPTC), the finite set prediction with only three evaluated switching states can not fully …
(MPTC), the finite set prediction with only three evaluated switching states can not fully …