scholarly journals Field-based optimal-design of an electric motor: a new sensitivity formulation

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 924-928 ◽  
Author(s):  
Paolo Di Barba ◽  
Maria Evelina Mognaschi ◽  
David Alister Lowther ◽  
Sławomir Wiak
Keyword(s):  
Optimal Design ◽  
Electric Motor ◽  
Pareto Front ◽  
Switched Reluctance Motor ◽  
Design Criteria ◽  
New Approach ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Robust Optimal Design

AbstractIn this paper, a new approach to robust optimal design is proposed. The idea is to consider the sensitivity by means of two auxiliary criteria A and D, related to the magnitude and isotropy of the sensitivity, respectively. The optimal design of a switched-reluctance motor is considered as a case study: since the case study exhibits two design criteria, the relevant Pareto front is approximated by means of evolutionary computing.

scholarly journals Multi-Physics Multi-Objective Optimal Design of Bearingless Switched Reluctance Motor Based on Finite-Element Method

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2374 ◽  
Author(s):  
Jingwei Zhang ◽  
Honghua Wang ◽  
Sa Zhu ◽  
Tianhang Lu
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Optimal Design ◽  
Switched Reluctance Motor ◽  
Loss Model ◽  
Switched Reluctance ◽  
Multi Objective ◽  
Initial Design ◽  
Reluctance Motor ◽  
Comprehensive Framework

The bearingless switched reluctance motor (BSRM) integrates the switched reluctance motor (SRM) with the magnetic bearings, which avoids mechanical bearings-loss and makes it promising in high-speed applications. In this paper, a comprehensive framework for the multi-physics multi-objective optimal design of BSRMs based on finite-element method (FEM) is proposed. At first, the 2-D electromagnetic model of a fabricated initial design prototype is built and solved by the open-source FEM software, Elmer. The iron loss model in Elmer based on the Fourier series is modified by a transient iron loss model with less computation time. Besides, a simplified lumped-parameter (LP) thermal model of the BSRM is applied to estimate the temperature rise of BSRM in the steady state. Then, the comprehensive framework for the multi-physics multi-objective optimal design of BSRMs based on FEM is proposed. The objectives, constraints, and decision variables for optimization are determined. The multi-objective genetic particle swarm optimizer is utilized to obtain the Pareto front of optimization. The electromagnetic performance of the final optimal design is compared with the initial design. Comparison results show that the average electromagnetic torque and the efficiency are significantly enhanced.

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