磁致伸缩惯性冲击电机建模与仿真

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (7): 1547-1552.

磁致伸缩惯性冲击电机建模与仿真

赵冉^1,2, 卢全国¹

1.南昌工程学院江西省精密驱动与控制重点实验室,南昌 330099;
2.河北工业大学电气工程学院,天津 220000

收稿日期:2015-10-14 修回日期:2015-12-07 出版日期:2016-07-08 发布日期:2020-06-04
作者简介:赵冉(1982-),男,河南开封,博士,讲师,研究方向为磁致伸缩材料及器件。
基金资助:
国家自然科学基金(51165035）,江西省青年基金(20133BAB21004),江西省科技落地计划(KJLD14094),高校科技落地计划(KJLD14096)

Modeling and Simulation of Magnetostrictive Impact Drive Mechanism

Zhao Ran^1,2, Lu Quanguo¹

1. Jiangxi Province Key Laboratory of Precision Drive And Control, Nanchang Institute of Technology, Nanchang 330099, China;
2. Department of Power Electrical, Hebei University of Technology, Tianjin 220000, China

Received:2015-10-14 Revised:2015-12-07 Online:2016-07-08 Published:2020-06-04

摘要/Abstract

摘要： 将磁致伸缩式惯性冲击电机的动力学模型与基于Jiles-Atherton模型的磁致伸缩材料非线性本构模型相结合,建立磁致伸缩惯性冲击电机的步长及速度预测模型。利用MATLAB / Simulink软件搭建仿真系统,通过仿真可得到惯性冲击电机的位移及速度。搭建实验系统对模型进行验证。仿真与实验结果表明,在驱动电流0.4~4A、驱动频率10~80 Hz的工作区间内,模型预测值与电机实际输出之间的误差不超过15%,能够对磁致伸缩惯性冲击电机的运动性能进行准确预测。

关键词: 惯性冲击电机, 磁致伸缩材料, 非线性模型, 动力学模型

Abstract: A model of magnetostrictive impact drive mechanism (IDM) was built to predict the step size and velocity, in which the dynamical model and the second order non-linear model of magnetostrictive material based on Jiles-Atherton model were considered. The simulation model was developed by utilizing MATLAB /Simulink software, and the data of IDM's displacement and velocity was obtained based on the model. The experimental system was built to testify the given model. The results illustrate that the error between experiment and simulation results are less than 15% within the range of driving current 0.2~0.4A and working frequency 10~100Hz. The proposed model can be used to predict the motion performance of magnetostrictive impact drive mechanism.

Key words: impact drive mechanism, magnetostrictive materials, non-linear model, dynamic model

中图分类号:

TM381

赵冉, 卢全国. 磁致伸缩惯性冲击电机建模与仿真[J]. 系统仿真学报, 2016, 28(7): 1547-1552.

Zhao Ran, Lu Quanguo. Modeling and Simulation of Magnetostrictive Impact Drive Mechanism[J]. Journal of System Simulation, 2016, 28(7): 1547-1552.

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