Reduction of Vibration Caused by Magnetic Force in a Switched Reluctance Motor by Topology Optimization

2002 ◽  
Vol 69 (3) ◽  
pp. 380-387 ◽  
Author(s):  
J. Yoo

The topology optimization of a switched reluctance motor (SRM) excited by magnetic forces is an important issue to minimize the noise and vibration level. In this paper, the magnetic force is computed using the Maxwell stress method and the optimization problem is formulated to minimize the frequency response based on the homogenization design method (HDM). The developed method is applied to the stator of an SRM to minimize the deformation caused by the magnetic harmonic excitation. Numerical simulation shows that this method successfully decreases the vibration level of an SRM.

2014 ◽  
Vol 134 (7) ◽  
pp. 656-666 ◽  
Author(s):  
Yoshihiro Nakazawa ◽  
Kazuhiro Ohyama ◽  
Kazuma Nouzuka ◽  
Hiroaki Fujii ◽  
Hitoshi Uehara ◽  
...  

Author(s):  
Rekha P S ◽  
Vijayakumar T.

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.


2012 ◽  
Vol 546-547 ◽  
pp. 230-235
Author(s):  
Song Yang ◽  
Hang Ma ◽  
Jun You Yang ◽  
Huai Yang Shen ◽  
Sheng Quan Chang

This paper presents a high-precision position control system for a linear switched reluctance motor (LSRM) based on dSPACE real-time control platform. The LSRM has a very simple structure and it can be manufactured easily, and there is no need for magnets. The system utilizes dSPACE platform as the controller and generates the real-time code for the control algorithm, tuning the control parameters on line and PD algorithm is implemented. The results show that control algorithm can substantially reduce position error. The DSP-based position control scheme is implemented and experimental results prove the effectiveness of control design method.


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