期刊文献+

磁流变阻尼器的模糊逼近 被引量:9

The fuzzy approximation of MR damper
下载PDF
导出
摘要 由于磁流变液具有非线性特性,所以磁流变阻尼器的输入输出间具有很强的非线性关系。可准确描述其非线性特性的磁流变阻尼器正模型通常非常复杂,难以直接得到逆模型。考虑到某些模糊系统的万能逼近能力,本文提出用模糊系统来逼近磁流变阻尼器逆模型的新思路。根据自适应神经模糊推理系统原理,设计两个模糊系统分别逼近磁流变阻尼器的正模型和逆模型。研究结果表明:无论是正模型还是逆模型,对于训练数据,模糊系统均可以准确逼近,而对于检验数据也可比较准确逼近。正模型的逼近效果稍好,若要提高逆模型ANF IS的逼近精度,将以增加系统复杂性为代价。模糊逼近可以推广到其它的磁流变阻尼器模型中,特别是可对正模型未知的磁流变阻尼器进行建模与控制。 An MR damper has strong nonlinearity between inputs and output owing to the unknown nonlinearity of the MR suspension in it. It is quite difficult to describe the direct model of the MR damper, however, it is much more difficult for the inverse model. The paper presents a novel train of thoughts to approach to the inverse model of the MR damper by using the universal approximation of a kind of fuzzy system. Then two different fuzzy systems are designed to approximate the direct model and the inverse one on the basis of adaptive neuro-fuzzy inference system (ANFIS). These two ANFIS are similar to their physical counterparts of the MR damper, just considering the number of the inputs and output. The numerical simulation proves that such two fuzzy systems can accurately approximate the direct model and inverse model of the MR damper for the train data, and well approximate for the check data. This idea can be extended to other models of MR dampers. Furthermore, it can be also used to model and control other MR damper with its direct model unknown.
作者 王昊 胡海岩
出处 《振动工程学报》 EI CSCD 北大核心 2006年第1期31-36,共6页 Journal of Vibration Engineering
基金 国家自然科学基金重点项目资助(50135030)
关键词 磁流变阻尼器 模糊逼近 自适应神经模糊推理系统 逆模型 MR damper fuzzy approximation adaptive neuro-fuzzy inference system(ANFIS) inverse model
  • 相关文献

参考文献11

  • 1Dyke S J,Spencer B F,Carlson J D.Modeling and control of magnetorheological dampers for seismic response reduction [J].Smart Mater.Struct.,1996,5:565-575.
  • 2Spencer B F,Dyke S J,Sain M K,et al.Phenomenological model of a magnetorheological damper [J].Journal of Engineering Mechanics,ASME,1997,123(3):230-238.
  • 3Jolly M R,Vender J W,Carlson J D.Properties and application of commercial magnetorheological fluids[A].SPIE 5th Annual Int.Symposium on Smart Structures and Materials [C].San Diego,CA,March,1998.
  • 4YaoGZ,YapFF,ChenG,et al.MR damper and its application for semi-active control of vehicle suspension system[J].Mechatronics,2002,12:963-973.
  • 5Lam H F,Liao W H.Semi-active control of automotive suspension systems with magnetorheoligical dampers[A].Smart Structures and Materials 2001:Smart Structures and Integrated Systems Proceeding of SPIE[C].2001,4 327:125-136.
  • 6Li P,Kamath G M,Werely N M.Dynamic characterization and analysis of magnetorheological damper behavior[A].5th SPIE Symposium on Smart Structures and Materials,Passive Damping and Isolation Conference[C].1998,3 327(25):284-302.
  • 7Spencer B F,Dyke S J.A comparison of semi-active control strategies for the MR damper[A].Proceeding of the IASTED international Conference,Intelligent Information Systems[C].The Bahamas,1997.
  • 8Xia P Q.An inverse model of MR damper using optimal neural network and system identification [J].Journal of Sound and Vibration,2003,266 (5):1 009-1 023.
  • 9Chang C C,ASCE M,Zhou L.Neural network emulation of inverse dynamics for a magnetorhelogical damper [J].Journal of Struct.Engineering,2002,128(2):231-239.
  • 10Schurter K C,Roschke P N.Fuzzy Modeling of A Magnetorheological Damper Using ANFIS [A ].Fuzzy Systems,FUZZ IEEE 2000.The Ninth IEEE International Conference [C].San Antonio,TX,USA,2000,1:122-127.

二级参考文献1

  • 1Li Pang,AIAA 98-2040-CP8903(4),2841页

共引文献42

同被引文献77

  • 1王影,贾启芬,刘习军.磁流变阻尼器的力学模型[J].机床与液压,2005,33(3):70-73. 被引量:7
  • 2侯保林,王炅,F.D.Goncalves.一种磁流变阻尼器非参数模型[J].南京理工大学学报,2005,29(5):560-564. 被引量:5
  • 3邓志党,高峰,刘献栋,杜发荣.磁流变阻尼器力学模型的研究现状[J].振动与冲击,2006,25(3):121-126. 被引量:70
  • 4禹见达,陈政清,王修勇,曹宏.磁流变阻尼器的非线性参数模型[J].振动与冲击,2007,26(4):14-17. 被引量:11
  • 5孙志强,葛哲学,著.神经网络理论与MATLAB7实现[M].北京:科学出版社,2005.
  • 6[8]陈国良,王煦法,庄镇泉,等.遗传算法及其应用.北京:人民邮电出版社,1997
  • 7Stanway R,Sproston J L and Stevens N G..Non-linear modeling of an electro-rheological vibration damper[J].Journal of Electrostatics,1987,20: 167-184.
  • 8Spencer B F,Dyke S J ,Sain M K,et al.Phenomenological model for magneto-rheological dampers[J].Journal of Engineering Mechanics,1997,123(3): 230-238.
  • 9Schuler K C,Roschke P N.Fuzzy modeling of a magneto-rheological damper using ANFIS[C].Proceedings of 9th IEEE international Conference on Fuzzy Systems,San Antonio,TX,2000,1: 122-127.
  • 10Ahn K K,Truong D Q and Islam M A.Modeling of a magneto-rheological (MR) fluid damper using a self tuning fuzzy mechanism[J].Journal of Mechanical Science and Technology,2009,23: 1485-1499.

引证文献9

二级引证文献45

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部