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Neural network approach compared to sensitivity analysis based on finite element technique for optimization of permanent magnet generators

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4 Author(s)
Tsekouras, G. ; Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece ; Kiartzis, S. ; Kladas, A.G. ; Tegopoulos, J.A.

The paper presents the optimization procedure of a permanent magnet generator for a 20 kW wind turbine prototype “Peripheral” neodymium alloy magnet rotor structure has been considered to perform the optimal shape design. A fully connected four layer feedforward neural network has been introduced and compared to a technique based on the finite element method and sensitivity analysis. The considered methods are in very good agreement

Published in:

Magnetics, IEEE Transactions on  (Volume:37 ,  Issue: 5 )

Date of Publication:

Sep 2001

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