Neural network approach compared to sensitivity analysis based on finite element technique for optimization of permanent magnet generators
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 int...
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| Veröffentlicht in: | IEEE transactions on magnetics 2001-09, Vol.37 (5), p.3618-3621 |
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| container_end_page | 3621 |
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| container_issue | 5 |
| container_start_page | 3618 |
| container_title | IEEE transactions on magnetics |
| container_volume | 37 |
| creator | Tsekouras, G. Kiartzis, S. Kladas, A.G. Tegopoulos, J.A. |
| description | 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. |
| doi_str_mv | 10.1109/20.952675 |
| format | Article |
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| ispartof | IEEE transactions on magnetics, 2001-09, Vol.37 (5), p.3618-3621 |
| issn | 0018-9464 1941-0069 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Applied classical electromagnetism Design optimization Electromagnetism electron and ion optics Exact sciences and technology Feedforward neural networks Finite element method Fundamental areas of phenomenology (including applications) Generators Magnetism Magnetostatics magnetic shielding, magnetic induction, boundary-value problems Mathematical analysis Neodymium alloys Neural networks Optimization Permanent magnets Physics Prototypes Rotors Sensitivity analysis Shape memory alloys Wind turbines |
| title | Neural network approach compared to sensitivity analysis based on finite element technique for optimization of permanent magnet generators |
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