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Particle swarm optimization combined with finite element method for design of ultrasonic motors

机译:粒子群优化与有限元方法相结合的超声电机设计

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摘要

A novel optimal design method for ultrasonic motors by combining particle swarm optimization (PSO) and finite element method (FEM) together is proposed in this paper. This method is more flexible and efficiently than traditional methods. The effectiveness of this proposed optimization method is illustrated by the design of an annular sector curvilinear ultrasonic motor. The dimensions of the stator of the motor are determined using PSO-FEM. The prototype motor is manufactured and measured experimentally. The results show that this optimization design method using PSO-FEM is feasible and effective for the design of ultrasonic motors. (c) 2008 Elsevier B.V. All rights reserved.
机译:提出了一种结合粒子群算法(PSO)和有限元方法(FEM)的超声电机优化设计新方法。该方法比传统方法更加灵活高效。通过环形扇形曲线超声马达的设计说明了所提出的优化方法的有效性。使用PSO-FEM确定电机定子的尺寸。原型电动机是通过实验制造和测量的。结果表明,采用PSO-FEM的优化设计方法对超声电机的设计是可行和有效的。 (c)2008 Elsevier B.V.保留所有权利。

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