Genetic Algorithm Approach for Improved Design of a Variable Speed Axial-Flux Permanent-Magnet Synchronous Generator

2012 ◽  
Vol 48 (12) ◽  
pp. 4860-4865 ◽  
Author(s):  
N. Rostami ◽  
M. R. Feyzi ◽  
J. Pyrhonen ◽  
A. Parviainen ◽  
V. Behjat
Keyword(s):  
Genetic Algorithm ◽  
Permanent Magnet ◽  
Synchronous Generator ◽  
Variable Speed ◽  
Axial Flux ◽  
Permanent Magnet Synchronous Generator ◽  
Genetic Algorithm Approach ◽  
Improved Design

scholarly journals Study and Optimal Design of a Direct-Driven Stator Coreless Axial Flux Permanent Magnet Synchronous Generator with Improved Dynamic Performance

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3162 ◽  
Author(s):  
Wenqiang Wang ◽  
Weijun Wang ◽  
Hongju Mi ◽  
Longbo Mao ◽  
Guoping Zhang ◽  
...  
Keyword(s):  
Optimal Design ◽  
Permanent Magnet ◽  
Optimization Design ◽  
Dynamic Performance ◽  
Design Procedure ◽  
Synchronous Generator ◽  
Variable Speed ◽  
Axial Flux ◽  
Permanent Magnet Synchronous Generator ◽  
Dynamic Performance Analysis

In this paper, the study and optimization design of stator coreless axial flux permanent magnet synchronous generators is presented for direct driven variable speed renewable energy generation system applications while considering the requirement of reliability and dynamic performance with unstable input conditions. The dynamic analytical model is developed based on the investigation of the axial flux permanent magnet synchronous generator (AFPMSG) structure and basic electromagnetic equations to find out the relationship between generator parameters and dynamic performance. Simulation via the MATLAB/Simulink platform is carried out to obtain the sensitivity of dynamic performance to generator parameters. An integrated optimization model that takes the key parameters as variables is proposed, aiming to improve the mechanical dynamic performance of AFPMSG. For accurate design, the design procedure is modified by combining the nonlinear iterative genetic algorithm (GA) to perform the calculation. A 3_kW AFPMSG is optimally designed to minimize the output voltage overshooting—the index of dynamic performance for direct driven variable speed generation application. Finally, a three-dimensional (3D) finite element model of the generator is established by Maxwell ANSOFT, and the simulation results confirm the validity of the dynamic performance analysis and optimal design procedure.

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