scholarly journals Methods of Torque Ripple Minimization Techniques on Switched Reluctance Motor

2019 ◽  
Vol 8 (2S4) ◽  
pp. 204-208
Keyword(s):  
Acoustic Noise ◽  
Control Strategies ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Switched Reluctance ◽  
Industrial Sectors ◽  
Reluctance Motor ◽  
Almost All ◽  
Torque Ripples ◽  
Published Research

In recent decades, Switched Reluctance Motor (SRM) drive has proved to be an attractive alternate for the conventional industrial drives. Many published research works have proved that SRM drives finds significant application in almost all industrial sectors. This paper presents a comprehensive review on various control strategies of SRM drive implemented in literatures. The objective of this review is to identify the accurate control strategies for controlling the SRM speed and torque. This paper also reviews the various strategies for minimization of the torque ripples, acoustic noise and vibration in SRM

scholarly journals A Review of Torque Ripple Control Strategies of Switched Reluctance Motor

2015 ◽  
Vol 8 (4) ◽  
pp. 103-116 ◽  
Author(s):  
Xudong Gao ◽  
Xudong Wang ◽  
Zhongyu Li ◽  
Yongqin Zhou
Keyword(s):  
Control Strategies ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Ripple Control

scholarly journals Control strategies applied for reducing the vibration and torque ripple of a special Switched Reluctance Motor

2011 ◽  
Vol 10 (1) ◽  
pp. 203-216 ◽  
Author(s):  
D. A. P. Correa ◽  
W. M. da Silva ◽  
S. I. Nabeta ◽  
I. E. Chabu
Keyword(s):  
Control Strategies ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Switched Reluctance ◽  
Reluctance Motor

scholarly journals Nonlinear Speed Control of Switched Reluctance Motor Drives Taking into Account Mutual Inductance

2008 ◽  
Vol 2008 ◽  
pp. 1-11 ◽  
Author(s):  
M. Alrifai ◽  
M. Zribi ◽  
R. Krishnan ◽  
M. Rayan
Keyword(s):  
Acoustic Noise ◽  
Speed Control ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Two Phase ◽  
Switched Reluctance ◽  
Control Scheme ◽  
Reluctance Motor ◽  
Simulation Results ◽  
Switched Reluctance Motor Drives

A speed control algorithm is proposed for variable speed switched reluctance motor (SRM) drives taking into account the effects of mutual inductances. The control scheme adopts two-phase excitation; exciting two adjacent phases can overcome the problems associated with single-phase excitation such as large torque ripple, increased acoustic noise, and rotor shaft fatigues. The effects of mutual coupling between two adjacent phases and their contribution to the generated electromagnetic torque are considered in the design of the proposed control scheme for the motor. The proposed controller guarantees the convergence of the currents and the rotor speed of the motor to their desired values. Simulation results are given to illustrate the developed theory; the simulation studies show that the proposed controller works well. Moreover, the simulation results indicate that the proposed controller is robust to changes in the parameters of the motor and to changes in the load torque.

scholarly journals Torque ripple and noise control of switched reluctance motor using an adaptive fuzzy PI control with the aid of AR algorithm

2021 ◽  
Vol 12 (2) ◽  
pp. 1239
Author(s):  
Rekha P S ◽  
Vijayakumar T.
Keyword(s):  
Magnetic Force ◽  
Noise Control ◽  
Acoustic Noise ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Maximum Efficiency ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Radial Magnetic Force ◽  
Ripple Control

In recent days switched reluctance motor is widely used for numerous industrial applications due to its simple structure, minimum cost and maximum efficiency. Regardless of numerous exclusive benefits of the switched reluctance motor (SRM), acoustic noise of this motor is high and it is important to accomplish more analysis on the noise lessening, which is the primary goal of this paper. The major causes of acoustic noise in a SRM are torque ripple and radial magnetic force. Since radial magnetic force is highly influential by the design of motor, torque ripple control is analysed in this article for acoustic noise control. Torque ripple control of SRM is proposed using optimization in direct torque control (DTC) method. Nowadays, optimisation plays a crucial role in motor drives for enhanced control. In this paper, artificial raindrop algorithm is proposed in DTC of SRM to minimise torque ripple. Performance of proposed ARA based DTC of four-phase 8/6 SRM is analysed using Matlab and compared with the performance of fuzzy gain scheduling PI controller based DTC.

scholarly journals A Power Factor Correction Buck Converter-Fed Switched Reluctance Motor with Torque Ripple Suppression

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jianli Jing
Keyword(s):  
Power Factor ◽  
Power Factor Correction ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Buck Converter ◽  
Motor Drive ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Improved Function ◽  
Torque Ripples

The switched reluctance motor (SRM) suffers the main drawback of torque ripples, and a buck converter-fed SRM motor drive has been proposed to suppress torque ripples and correct a power factor in this paper. The buck converter reduces the torque ripple by supplying appropriate DC-link voltage; meanwhile, the buck converter realizes a function of power factor correction at AC mains. An enhanced performance has been obtained on speed control and power quality improvement. An experimental SRM motor drive is formed, and the experimental results show that the proposed drive possesses an improved function with suppression of torque ripples and power factor correction.

A Novel Modified Turn-on Angle Control Scheme for Torque-Ripple Reduction in Switched Reluctance Motor

2016 ◽  
Vol 7 (4) ◽  
pp. 1110 ◽  
Author(s):  
Milad Dowlatshahi ◽  
Mehrdad Daryanush
Keyword(s):  
Low Cost ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Industrial Applications ◽  
Switched Reluctance Motors ◽  
Switched Reluctance ◽  
Turn On ◽  
Reluctance Motor ◽  
Ripple Reduction ◽  
Torque Ripples

In recent years, Switched Reluctance Motors (SRM) have been dramatically considered with both researchers and industries. SRMs not only have a simple and reliable structure, but also have low cost production process. However, discrete torque production of SRM along with intensive magnetic saturation in stator and rotor cores are the major drawbacks of utilizing in variety of industrial applications and also causes the inappropriate torque ripples. In this paper, a modified logical-rule-based Torque Sharing Function (TSF) method is proposed considering turn-on angle control. The optimized turn-on angle for conducting each phase is achieved by estimating the inductance curve in the vicinity of unaligned position and based on an analytical solution for each phase voltage equation. Simulation results on a four-phase switched reluctance motor and comparison with the conventional methods validates the effectiveness of the proposed method.

scholarly journals Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction

2020 ◽  
Vol 2020 ◽  
pp. 1-31
Author(s):  
Iqra Tariq ◽  
Raheel Muzzammel ◽  
Umar Alqasmi ◽  
Ali Raza
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Switched Reluctance Motors ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Artificial Neural ◽  
Torque Ripples

Switched reluctance motor is acquiring major attention because of its simple design, economic development, and reduced dependability. These attributes make switched reluctance motors superior to other variable speed machines. The major challenge associated with the development of a switched reluctance motor is its high torque ripple. Torque ripple produces noise and vibration, resulting in degradation of its performance. Various techniques are developed to cope with torque ripples. Practically, there exists not a single mature technique for the minimization of torque ripples in switched reluctance motors. In this research, a switched reluctance motor is modelled and analysed. Its speed and current control are implemented through artificial neural networks. Artificial neural network is found to be a promising technique as compared with other techniques because of its accuracy, reduced complexity, stability, and generalization. The Levenberg–Marquardt algorithm is utilized in artificial neural networks due to its fast and stable convergence for training and testing. It is found from research that artificial neural network-based improved control shows better performance of the switched reluctance motor. Realization of this technique is further validated from its mean square error analysis. Operating parameters of the switched reluctance motor are improved significantly. Simulation environment is created in Matlab/Simulink.

The Investigation of Control Strategies of Switched Reluctance Motor to Reduce the Torque Ripple in Vehicle

2015 ◽  
Author(s):  
Ling Zheng ◽  
Yue Ren ◽  
Qiran Huang ◽  
Yinong Li ◽  
Zhenfei Zhan
Keyword(s):  
Control Strategies ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Switched Reluctance ◽  
Reluctance Motor
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