Acoustic Noise Analysis of a High-Speed High-Power Switched Reluctance Machine: Frame Effects

2016 ◽  
Vol 31 (1) ◽  
pp. 69-77 ◽  
Author(s):  
Sandra M. Castano ◽  
Berker Bilgin ◽  
Earl Fairall ◽  
Ali Emadi
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zhengyuan Gao ◽  
Shanming Wang ◽  
Zhiguo An ◽  
Pengfei Sun

Considerable vibration and acoustic noise limit the further application of Switched Reluctance Machine (SRM) due to its structural characteristics and working principle. An improved SRM model with double auxiliary slots (DAS) was proposed, in which the direction of the magnetic line of force was adjusted, and the radial magnetic density in the air gap was reduced by changing the local tooth profiles of the stator and the rotor. The effects of initial rotor position and turn-on angle and turn-off angle on radial Electromagnetic Force (EMF) and maximum torque were investigated. The results indicate the radial EMF and torque increase significantly with the advancement of the turn-on angle or the delay of the turn-off angle. In the orthogonal experimental design, initial rotor position, turn-on angle, and turn-off angle were taken as the factors, and the optimal set of parameters that minimized radial EMF was determined according to a greater output torque. In contrast to conventional SRM, the radial EMF of the SRM with DAS significantly reduces when the optimal set is applied.


2013 ◽  
Vol 313-314 ◽  
pp. 45-50 ◽  
Author(s):  
Mohammadali Abbasian ◽  
Vahid Hanaeinejad

Double-stator switched reluctance machines benefit from a high torque density and a low radial force level in comparison with conventional switched reluctance machines resulting in a lower vibration and acoustic noise. Therefore, they are suitable candidate for automotive applications. However, torque pulsation which is also a source for vibration is still remained and should be alleviate by dimension optimization of the machine. This paper presents a design optimization of a double-stator switched reluctance machine for improving the magnetic torque quality of the machine. For this purpose finite element method along with response surface methodology is used to optimize three parameters of the machine to maximize torque quality factor i.e. the average torque to torque ripple ratio in the machine. Genetic algorithm method is also employed as an optimization tool. The aim of optimization is to maximize the ratio of average torque to torque ripple. Finite element results are presented to verify the optimization method.


2010 ◽  
Vol 46 (6) ◽  
pp. 2329-2337 ◽  
Author(s):  
Christopher J. Bateman ◽  
Barrie C. Mecrow ◽  
Andrew C. Clothier ◽  
Paul P. Acarnley ◽  
Nicholas D. Tuftnell

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