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Improved Winding Proposal for Wound Rotor Resolver Using Genetic Algorithm and Winding Function Approach

机译:遗传算法和绕线函数法改进的绕线旋转变压器绕线方案

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摘要

Among position sensors, resolvers are superior from reliability point of view. However, obtaining lower output voltage harmonics and simple manufacturing process is a challenge in the design and optimization of resolvers. In this paper, a metaheuristic optimization algorithm is used to minimize total harmonic distortion of the output signals, and consequently the estimated position error in concentrated coil wound field resolvers. Meanwhile, to minimize total coil numbers, manufacturing costs, and complexity of the winding process, modified objective function and constraints are proposed. In this way, a modified winding function method is employed for performance analysis of the axial flux resolver. Then, the merits of the optimized winding configuration with respect to fractional slot concentrated windings are shown. The results of the proposed configurations are verified with a three-dimensional time-stepping finite-element method. Finally, the prototype of the studied axial flux resolver is constructed and tested. Good agreement is obtained between simulation and experimental results, confirming the effectiveness of the optimization process.
机译:在位置传感器中,从可靠性的角度来看,旋转变压器是优越的。然而,在旋转变压器的设计和优化中,获得较低的输出电压谐波和简单的制造工艺是一项挑战。在本文中,采用元启发式优化算法来最大程度地减少输出信号的总谐波失真,从而最大程度地减少集中线圈绕线场旋转变压器中的位置误差。同时,为了最小化总线圈数量,制造成本和缠绕过程的复杂性,提出了修改后的目标函数和约束条件。以这种方式,将改进的绕组函数方法用于轴向磁通分解器的性能分析。然后,示出了相对于分数槽集中绕组的优化绕组配置的优点。通过三维时间步长有限元方法验证了所提出配置的结果。最后,构造并测试了所研究的轴向磁通分解器的原型。在仿真和实验结果之间取得了良好的一致性,证实了优化过程的有效性。

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