Small wind turbines can generate clean energy in diverse locations, from urban centers to rural areas without access to the main grids. This study proposes design optimization of an axial flux permanent magnet (AFPM) synchronous machine for small scale portable applications. At first, a fast, accurate and pragmatic hybrid analytical model is proposed for performance prediction of the machine. The proposed model is then used as a basis for a direct search optimization process with factual constrains and objective functions to improve the machine in terms of efficiency, weight and to ease the manufacturing process. 3 Dimensional Time Stepping Finite Element Method (3-DTSFEM) is utilized to validate the accuracy and effectiveness of the proposed model and optimization methodology.Output characteristic of the machine from both analytical model and 3-DTSFEM are compared to each other that proves the functionality of the proposed study.
In this study an analytical model based on solving Maxwell equations in the machine layers is presented for linear resolver (LR). Anisotropy, field harmonics, slot effects, number of slots per pole per phase and the effect of tooth skewing are considered in the model. The proposed method is a design oriented technique that can be used for performance prediction and design optimisation of the LR due to its acceptable accuracy and fast computation time. Two‐ and three‐dimensional time stepping finite element method (FEM) is employed to validate the results of the proposed model. Good correlations between the results obtained by the proposed method and the FEM confirm the superiority of the proposed method over the FEM due to its much lower computational time. Finally, the prototype of the proposed sensor is built and tested. The results of the experimental tests verify the accuracy of the simulations.
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