Efficiency improvement and torque ripple minimization of Switched Reluctance Motor using FEM and Seeker Optimization Algorithm

2014 ◽  
Vol 78 ◽  
pp. 237-244 ◽  
Author(s):  
Mohammad Javad Navardi ◽  
Behnaz Babaghorbani ◽  
Abbas Ketabi
2020 ◽  
Vol 6 (1) ◽  
pp. 30-47
Author(s):  
Alexander V. Kashuba

Background: Switched reluctance motor (SRM) is a promising type of electromechanical energy converter. It is used in both motor and generator modes. SRM can be used not only in mechanisms with rotational motion, but also as linear motors, including maglev transport systems. A lot of publications are devoted to SRM design issues. In development of this direction, further improvement of the SRM design process is proposed using the optimization method of forming the geometrical dimensions of the tooth zone. Aim: Reducing of electromagnetic torque ripple SRM by optimizing the geometrical dimensions of the tooth zone. Materials and Methods: To simulate magnetic fields, the FEMM 4.2 program was used. The implementation of the optimization algorithm and the processing of the results of field calculations, was carried out in the MATLAB program. The Monte Carlo optimization methods (they rely on random sampling) was taken as the basis for developing the optimization algorithm, and its improvement was achieved using mathematical methods based on probability theory. Results: As a result of the optimization calculations, the tooth zone geometry was obtained, which provides a reduction in the pulsation of the SRM electromagnetic torque ripple from 122% to 40%. Conclusion: The studies presented in the paper indicate the effectiveness of using the optimization algorithm in designing SRM, as well as the feasibility of removing restrictions on the shape of the tooth SRM and the use of a curved tooth shape, which is determined in the process of solving the optimization problem by a determined criterion.


2015 ◽  
Vol 135 (3) ◽  
pp. 284-290 ◽  
Author(s):  
Yoshihiro Nakazawa ◽  
Kazuhiro Ohyama ◽  
Hiroaki Fujii ◽  
Hitoshi Uehara ◽  
Yasushi Hyakutake

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