论文信息 - Design Optimization of an Axial Flux PM Synchronous Machine: Comparison Between DIRECT Method and GAs Method

Design Optimization of an Axial Flux PM Synchronous Machine: Comparison Between DIRECT Method and GAs Method

This paper presents a design optimization of an axial flux permanent magnet synchronous machine (AFPMSM). The design optimization is performed using separately two different algorithms: a deterministic algorithm and a stochastic algorithm. The used DIRECT algorithm and genetic algorithm (GA) are described and tested separately to optimize a 10 kW/130 rpm AFPMSM. The obtained results by the two algorithms are compared in terms of precision of the found global optimum, convergence speed and simplicity of implementation. In particular, optimal design results show the effectiveness of DIRECT algorithm

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