Multiphysics finite element model for the computation of the electro-mechanical dynamics of a hybrid reluctance actuator

IF 1.8 4区数学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Mathematical and Computer Modelling of Dynamical Systems Pub Date : 2020-06-28 DOI:10.1080/13873954.2020.1766509

F. Cigarini, E. Csencsics, J. Schlarp, S. Ito, G. Schitter

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引用次数: 3

Abstract

ABSTRACT In hybrid reluctance actuators, the achievable closed-loop system bandwidth is affected by the eddy currents and hysteresis in the ferromagnetic components and the mechanical resonance modes. Such effects must be accurately predicted to achieve high performance via feedback control. Therefore, a multiphysics electro-mechanical finite element model is proposed in this paper to compute the dynamics of a 2-DoF hybrid reluctance actuator. An electromagnetic simulation is adopted to compute the electromagnetic dynamics and the actuation torque, which is employed as input for a structural dynamic simulation computing the electro-mechanical frequency response function. For model validation, the simulated and measured frequency response plots are compared for two actuators with solid and laminated outer yoke, respectively. In both cases, the model accurately predicts the measurement results, with a maximum relative phase error of 1.7% between the first resonance frequency and 1 kHz and a relative error of 1.5% for the second resonance frequency..

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混合磁阻作动器机电动力学计算的多物理场有限元模型

摘要在混合磁阻致动器中，可实现的闭环系统带宽受到铁磁元件中的涡流和磁滞以及机械谐振模式的影响。必须准确地预测这种影响，以通过反馈控制实现高性能。因此，本文提出了一个多物理机电有限元模型来计算2-DoF混合磁阻致动器的动力学。采用电磁仿真来计算电磁动力学和驱动转矩，并将其作为计算机电频率响应函数的结构动力学仿真的输入。为了进行模型验证，分别比较了具有实心外轭和层压外轭的两个致动器的模拟和测量频率响应图。在这两种情况下，该模型都准确地预测了测量结果，第一谐振频率和1kHz之间的最大相对相位误差为1.7%，第二谐振频率的相对误差为1.5%。。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Mathematical and Computer Modelling of Dynamical Systems 数学-计算机：跨学科应用

CiteScore

3.80

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.