|本期目录/Table of Contents|

[1]赵新龙,吴双江,潘海鹏.基于动态迟滞单元的磁流变阻尼器建模与辨识[J].浙江理工大学学报,2018,39-40(自科2):195-199.
 ZHAO Xinlong,WU Shuangjiang,PAN Haipeng.Modeling and identification of magnetorheological damper based on dynamic hysteresis operator[J].Journal of Zhejiang Sci-Tech University,2018,39-40(自科2):195-199.
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基于动态迟滞单元的磁流变阻尼器建模与辨识()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第39-40卷
期数:
2018年自科2期
页码:
195-199
栏目:
出版日期:
2018-03-31

文章信息/Info

Title:
Modeling and identification of magnetorheological damper based on dynamic hysteresis operator
文章编号:
1673-3851 (2018) 03-0195-05
作者:
赵新龙吴双江潘海鹏
浙江理工大学机械与自动控制学院,杭州 310018
Author(s):
ZHAO Xinlong WU Shuangjiang PAN Haipeng
Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China
关键词:
磁流变阻尼器改进动态迟滞单元迟滞模型改进粒子群算法
分类号:
TP20
文献标志码:
A
摘要:
磁流变阻尼器(Magnetorheological damper,简称MR阻尼器)在振动控制方面具有很好的应用前景,但是由于MR阻尼器固有的非线性的迟滞特性会影响控制精度,因此需要对磁流变阻尼器进行建模分析。首先提出了改进的动态迟滞单元(Modified dynamic hysteresis operator,MDHO),MDHO能够描述不同的输出幅值;然后在MDHO的基础上提出了MR阻尼器的迟滞模型,在该模型中磁流变阻尼器的输出阻尼力表示为MDHO的滞变阻尼力与粘滞力两部分;最后利用改进的粒子群算法(Modified particle swarm optimization,MPSO)进行模型参数辨识。实验结果表明,基于动态迟滞单元的磁流变阻尼器的迟滞模型能够有效模拟MR阻尼器的实际特性。

参考文献/References:

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[7] Witters M, Swevers J. Blackbox model identification for a continuously variable, electrohydraulic semiactive damper[J]. Mechanical Systems & Signal Processing,2010,24(1):4-18.
[8] Ekkachai K, Tungpimplrut K, Nilkhamhang I. Force  control of a magnetorheological damper using an elementary  hysteresis modelbased feedforward neural network[J]. Smart Materials & Structures,2013,22(11):5030.
[9] Truong D Q, Ahn K K. Nonlinear blackbox models and forcesensorless damping control for damping systems  using  magnetorheological fluid dampers[J]. Sensors & Actuators  A Physical,2011,167(2):556-573.[10] Truong D Q, Ahn K K. Identification and application of blackbox model for a selfsensing damping system using a magnetorheological fluid damper[J]. Sensors & Actuators A Physical,2010,161(1/2):305-321.

备注/Memo

备注/Memo:
收稿日期: 2017-09-07
网络出版日期: 2017-12-12
基金项目: 国家自然科学基金项目(61273184);浙江省自然科学基金项目(LY15F030022,LZ15F030005)
作者简介: 赵新龙(1977-),男,山东海阳人,副教授,博士,主要从事迟滞非线性系统方面的研究
更新日期/Last Update: 2018-03-15