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Optimal Design of Permanent Magnet Linear Synchronous Motors at Multispeed Based on Particle Swarm Optimization Combined With SN Ratio Method

机译:基于粒子群算法和信噪比法的永磁直线同步电动机多速优化设计

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This paper focuses on the optimal design of permanent magnet linear synchronous motor (PMLSM) with trapezoidal permanent magnets (TPMs) at multispeed that are applied in laser-engraving machines. Particle swarm optimization (PSO) and signal-to-noise (SN) ratio method are proposed to minimize the thrust ripple and maintain average thrust. First, an analytical model based on equivalent magnetic charge method is presented to analyze the PMLSM with TMPs, and the accuracy of the proposed analytical method is validated by finite-element method. Then, the PSO is applied to optimize the pole pitch$(u)$, air gap length$(delta)$, bottom angle of TPM$(heta)$, and magnet height$(h)$to obtain the optimized structure parameters at a single speed. Application of PSO is repeated at different speeds to obtain their optimal structure parameters. Finally, the SN ratio method is used to synthetically optimize the parameters obtained at different speeds to acquire the optimized parameters at multispeed. Experimental results of prototype can confirm the validity and superiority of the method.
机译:本文重点研究了应用于激光雕刻机的具有梯形永磁体(TPM)的永磁直线同步电动机(PMLSM)的优化设计。提出了粒子群优化(PSO)和信噪比(SN)方法,以最小化推力波动并保持平均推力。首先,提出了一种基于等效荷电法的分析模型,对带有TMPs的PMLSM进行了分析,并通过有限元方法验证了所提方法的准确性。然后,应用PSO优化磁极间距 n $( tau)$ n,气隙长度 n <内联式xmlns:mml = “ http://www.w3.org/1998/Math/MathML ” xmlns:xlink = “ http://www.w3.org/1999/xlink ”> $( delta)$ n,TPM的底角 n $( theta)$ n,磁铁高度 n $(h)$ n以单速获得优化的结构参数。以不同的速度重复应用PSO,以获得其最佳结构参数。最后,使用信噪比方法综合优化以不同速度获得的参数,以多速获取优化参数。样机的实验结果可以证实该方法的有效性和优越性。

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