Evolutionary Design of Electromagnetic and Electromechanical Devices

Evolutionary design refers to the use of evolutionary computing methods in the design process. Normally, this entails the formulization of the design problem as an optimization problem, which is solved using evolutionary techniques such as a genetic algorithm or particle swarm optimization. This paper provides three examples in the use of this highly effective method to the design of electromagnetic and electromechanical devices.

[1]  Scott D. Sudhoff,et al.  Analysis of Electric Machinery and Drive Systems , 1995 .

[2]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[3]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[4]  S.D. Sudhoff,et al.  EI Core Inductor Designs using Population-Based Design Algorithms , 2007, APEC 07 - Twenty-Second Annual IEEE Applied Power Electronics Conference and Exposition.

[5]  S.D. Sudhoff,et al.  Genetic Algorithm Based Design of a Permanent Magnet Synchronous Machine , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[6]  J. Cale,et al.  Accurately modeling EI core inductors using a high-fidelity magnetic equivalent circuit approach , 2006, IEEE Transactions on Magnetics.

[7]  Scott D. Sudhoff,et al.  An improved magnetic characterization method for highly permeable materials , 2006, IEEE Transactions on Magnetics.

[8]  O. Nelles,et al.  An Introduction to Optimization , 1996, IEEE Antennas and Propagation Magazine.