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Optimization of Mover Acceleration in DC Tubular Linear Direct-Drive Machine Using Response Surface Method

机译:响应面法优化直流管状直线直接驱动机的运动加速度

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This paper presents a new analytical model for both magnetic flux density and thrust force in a linear direct-drive machine. The model is then used to design a tubular linear direct drive machine (TLDDM) by optimizing its effective parameters. Although the machine has many applications when it works as a motor, but the same design can be used when it works as a generator, where it has applications in renewable energy and sustainable systems. Two-dimensional finite element method (FEM) is used for numerical analysis. Magnetic flux density and thrust force computed numerically shows a good agreement with the values resulted from proposed analytical model. This research, investigates the effect of some geometrical dimensions of Tubular Linear Direct-Drive Machine (TLDDM). The sensitivity analysis of parameters by response surface method (RSM) highlights the influence of effective parameters and their interactions. Permanent magnet (PM) radius, PM length, air gap, coil thickness, and current density of phases are effective factors on Mover's acceleration. It is found that lower air gap, higher coil thickness and longer PM cause higher ratio of maximum thrust force to mover's mass. It is shown that RSM can predict the optimum acceleration with error of 6%. The general shape of thrust force in different current densities is also confirmed by experimental results.
机译:本文提出了一种用于线性直驱电机的磁通密度和推力的新分析模型。然后,通过优化模型的有效参数,将其用于设计管状线性直接驱动器(TLDDM)。尽管该机器在用作电动机时具有许多应用,但是在用作发电机时也可以使用相同的设计,在发电机中它可应用于可再生能源和可持续系统。二维有限元方法(FEM)用于数值分析。数值计算的磁通密度和推力与拟议的分析模型得出的值显示出良好的一致性。这项研究调查了管状线性直接驱动机(TLDDM)的某些几何尺寸的影响。通过响应面法(RSM)对参数进行敏感性分析,可以突出有效参数及其相互作用的影响。永磁体(PM)的半径,永磁体长度,气隙,线圈厚度和相电流密度是影响Mover加速度的有效因素。发现较低的空气间隙,较高的线圈厚度和较长的PM会导致最大推力与动子质量的比率较高。结果表明,RSM可以预测最佳加速度,误差为6%。实验结果也证实了不同电流密度下推力的一般形状。

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