Robust Design Optimization of Electrical Machines: A Comparative Study and Space Reduction Strategy

2020 ◽  
pp. 1-1
Author(s):  
Gang Lei ◽  
Gerd Bramerdorfer ◽  
Chengcheng Liu ◽  
Youguang Guo ◽  
Jianguo Zhu
Keyword(s):  
Comparative Study ◽  
Design Optimization ◽  
Robust Design ◽  
Electrical Machines ◽  
Robust Design Optimization ◽  
Reduction Strategy ◽  
Space Reduction

Robust Design Optimization of Electrical Machines Considering Hybrid Random and Interval Uncertainties

2020 ◽  
Vol 35 (4) ◽  
pp. 1815-1824 ◽  
Author(s):  
Bo Ma ◽  
Jing Zheng ◽  
Jianguo Zhu ◽  
Jinglai Wu ◽  
Gang Lei ◽  
...  
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Electrical Machines ◽  
Robust Design Optimization ◽  
Interval Uncertainties

scholarly journals Robust Design Optimization and Emerging Technologies for Electrical Machines: Challenges and Open Problems

2020 ◽  
Vol 10 (19) ◽  
pp. 6653 ◽  
Author(s):  
Tamás Orosz ◽  
Anton Rassõlkin ◽  
Ants Kallaste ◽  
Pedro Arsénio ◽  
David Pánek ◽  
...  
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Emerging Technologies ◽  
Optimization Problems ◽  
Parameter Tuning ◽  
Optimization Techniques ◽  
Electrical Machines ◽  
Robust Design Optimization ◽  
Open Problems ◽  
Electrical Machinery

The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical machines. However, from the mathematical point of view, these problems belong to the most general branch of non-linear optimization problems, where these tools cannot guarantee that a global minimum is found. The numerical cost and the accuracy of these algorithms depend on the initialization of their internal parameters, which may themselves be the subject of parameter tuning according to the application. In practice, these optimization problems are even more challenging, because engineers are looking for robust designs, which are not sensitive to the tolerances and the manufacturing uncertainties. These criteria further increase these computationally expensive problems due to the additional evaluations of the goal function. The goal of this paper is to give an overview of the widely used optimization techniques in electrical machinery and to summarize the challenges and open problems in the applications of the robust design optimization and the prospects in the case of the newly emerging technologies.

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