Online parameter identification of Bouc-Wen model for piezoelectric actuators

ZHU Wei; RUI Xiao-ting

doi:10.3788/OPE.20152301.0110

您当前的位置：

首页 >

文章列表页 >

Online parameter identification of Bouc-Wen model for piezoelectric actuators

更新时间：2020-08-13

- Online parameter identification of Bouc-Wen model for piezoelectric actuators
- Optics and Precision Engineering Vol. 23, Issue 1, Pages: 110-116(2015)
- 作者机构：
  
  南京理工大学发射动力学研究所,江苏南京,210094
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152301.0110
  CLC： TN384;TP271
- Received：19 April 2014，
  
  Revised：30 May 2014，
  
  Published：25 January 2015
- 稿件说明：
移动端阅览
朱炜, 芮筱亭,. 压电执行器的Bouc-Wen模型在线参数辨识[J]. 光学精密工程, 2015,23(1): 110-116

ZHU Wei, RUI Xiao-ting,. Online parameter identification of Bouc-Wen model for piezoelectric actuators[J]. Editorial Office of Optics and Precision Engineering, 2015,23(1): 110-116
朱炜, 芮筱亭,. 压电执行器的Bouc-Wen模型在线参数辨识[J]. 光学精密工程, 2015,23(1): 110-116 DOI： 10.3788/OPE.20152301.0110.

ZHU Wei, RUI Xiao-ting,. Online parameter identification of Bouc-Wen model for piezoelectric actuators[J]. Editorial Office of Optics and Precision Engineering, 2015,23(1): 110-116 DOI： 10.3788/OPE.20152301.0110.

摘要

现有的定参数Bouc-Wen模型由于无法表征压电执行器迟滞具有的频移和时变性

极易产生较大的模拟误差.为了精确地模拟压电执行器的迟滞特性

本文建立了压电执行器的Bouc-Wen模型

并采用递推最小二乘在线辨识方法来实时辨识Bouc-Wen模型的参数.为了避免出现数据饱和现象

使用限定记忆来限定辨识方法所使用的数据组数.为验证该辨识方法的有效性

建立了相应的实验系统对其进行实验验证.实验结果表明

限定记忆递推最小二乘在线辨识方法能使Bouc-Wen模型也呈现频移和时变特性.以100 Hz的驱动电压为例

其最大绝对模拟误差从1.38 μm降为0.51 μm.因此

与传统的离线参数辨识方法相比

限定记忆递推最小二乘在线辨识方法能够有效地提高Bouc-Wen模型的模拟精度.

Abstract

The exciting Bouc-Wen model with fixed-parameters can not characterize the frequency-dependent and time-varying properties from the hysteresis of piezoelectric actuators and easy to generate simulation errors. In order to accurately describe these characteristics

the Bouc-Wen model was established and a recursive least square online identification method was proposed to identify the parameters of the Bouc-Wen model in real-time. Meanwhile

the limited memory method was used to limit the data sets to avoid the data saturation phenomenon. To verify the availability of the identification method

an experimental system was set up and the performance of the identification method was experimentally verified. Experimental results show that the limited memory recursive least square identification method makes the Bouc-Wen model show the frequency shift and time-varying characteristics. When the drive voltage is set to be 100 Hz

the largest absolute simulation error decreases from 1.38 μm to 0.51 μm

and reduced by 63.7%. Compared with the traditional off line parameter identification

the online identification effectively improves the modeling accuracy of the Bouc-Wen model.

关键词

Keywords

references

DONG W, TANG J, AND ELDEEB Y. Design of a linear-motion dual-stage actuation system for precision control [J]. Smart Materials and Structures, 2009, 18(9): 095035-1-11.

房建成, 陈萌, 李海涛. 磁悬浮控制力矩陀螺框架系统谐波减速器的迟滞建模 [J]. 光学精密工程, 2014, 22(11): 2950-2958. FANG J CH, CHEN M, LI H T. Hysteresis modeling for harmonic drive in DGMSCMG gimbal system [J]. Opt. Precision Eng., 2014, 22(11): 2950-2958. (in Chinese)

陈远晟, 裘进浩, 季宏丽. 基于双曲函数的Preisach类迟滞非线性建模与逆控制 [J]. 光学精密工程, 2013, 21(5):1205-1212. CHEN Y SH, QIU J H, JI H L. Modeling and inrerse control of preisach type hysteresis nonlinearity using hyperbola functions [J]. Opt. Precision Eng., 2013, 21(5):1205-1212. (in Chinese)

耿洁, 刘向东, 陈振, 等. Preisach迟滞逆模型的神经网络分类排序实现 [J]. 光学精密工程, 2010, 18(4): 855-862. GENG J, LIU X D, CHEN ZH,at el.. The sorting & taxis realization of Preisach inverse hysteresis model using neural network [J]. Opt. Precision Eng., 2010, 18(4): 855-862. (in Chinese)

TAN U X, LATT W T, WIDJAJA F,et al.. Tracking control of hysteretic piezoelectric actuator using adaptive rate-dependent controller [J]. Sensors and Actuators A: Physical, 2009, 150(1): 116-123.

SUN L, RU C, RONG W, CHEN L, et al.. Tracking control of piezoelectric actuator based on a new mathematical model [J]. Journal of Micromechanics and Microengineering, 2004, 14(11): 1439-1444.

张桂林, 张承进, 赵学良. 压电驱动器记忆特性迟滞非线性建模 [J]. 光学精密工程, 2012, 20 (5): 996-1011. ZHANG G L, ZHANG CH J,ZHAO X L. Modeling of nonlocal memory hysteresis in piezoelectric actuators [J]. Opt. Precision Eng., 2012, 20 (5): 996-1011. (in Chinese)

张栋, 张承进, 魏强, 等. 压电工作台的神经网络建模与控制 [J]. 光学精密工程, 2012, 20 (3): 577-586. ZHANG D, ZHANG CH J,WEI Q, et al.. Sliding mode control of hysteresis of piezoceramic actuator based on inverse preisach compensation [J]. Opt. Precision Eng., 2012, 20 (3): 577-586. (in Chinese)

魏强, 张承进, 张栋, 等. 压电陶瓷驱动器的滑模神经网络控制 [J]. 光学精密工程, 2012, 20 (5): 1055-1063. WEI Q, ZHANG CH J, ZHANG D, et al.. Neural network control for piezo-actuator using sliding-model technique [J]. Opt. Precision Eng., 2012, 20 (5): 1055-1063. (in Chinese)

QUANT M, ELIZALDE H, FLORES A,et al.. A comprehensive model for piezoceramic actuators: modelling, validation and application [J]. Smart Materials and Structures, 2009, 18(12): 125011 (16 pp).

裘进浩, 陈海荣, 陈远晟, 等. 压电驱动器的非对称迟滞模型 [J]. 纳米技术与精密工程, 2012, 10(3): 189-197. QIU J H, CHEN H R, CHEN Y SH, et al.. A model for asymmetric hysteresis of piezoelectric actuators [J]. Nanotechnology and Precision Engineering, 2012, 10(3): 189-197. (in Chinese)

HEGEWALD T, KALTENBACHER B, KALTENBACHER M, et al.. Efficient modeling of ferroelectric behavior for the analysis of piezoceramic actuators [J]. Journal of Intelligent Material Systems and Structures, 2008, 19(10): 1117-1129.

LI J W, CHEN X B, AN Q, et al.. Friction models incorporating thermal effects in highly precision actuators [J]. Review of Scientific Instruments, 2009, 80(4): 045104-1-6.

HUANG S J, CHIU C M. Optimal LuGre friction model identification based on genetic algorithm and sliding mode control of a piezoelectric-actuating table [J]. T. I. Meas. Control, 2009, 31(1): 181-203.

王代华, 朱炜. WTYD型压电陶瓷微位移器的迟滞特性建模与实验验证 [J]. 光学精密工程, 2010,18 (1): 205-211. WANG D H, ZHU W. The hysteretic modeling and experimental verification for WTYD type piezoceramic micro-actuators [J]. Opt. Precision Eng., 2010, 18 (1): 205-211. (in Chinese)

ZHU W, WANG D H. Non-symmetrical Bouc-Wen model for a piezoelectric ceramic actuator [J]. Sensor Actuat. A-Phys., 2012, 181: 51-60.

WANG D H, ZHU W. Phenomenological model for pre-stressed piezoelectric stack actuators [J]. Smart Mater. Struct., 2011, 20(3): 035018-1-11.

SMYTH A W, MASRI S F, KOSMATOPOULOS E B, et al.. Development of adaptive modeling techniques for nonlinear hysteretic systems [J]. International Journal of Non-Linear Mechanics, 2002, 37(8): 1435-1451.

ISMAIL M, IKHOUANE F, RODELLAR J. The Hysteresis Bouc-Wen model, a survey [J]. Arch. Comput. Methods Eng., 2009, 16: 161-188.

WANG D H, ZHU W, YANG Q, et al.. A high-voltage and high-power amplifier for driving piezoelectric stack actuators [J]. Journal of Intelligent Material Systems and Structures, 2009, 20(16): 1987-2001.

Views

311

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Dynamic hysteresis modeling and LQG optimal controller design of piezoelectric actuators

Dynamic hysteresis modeling and experimental verification of piezoelectric positioning stage

Feed-forward control of stack piezoelectric actuator

Analytical model and finite element analysis of piezoelectric displacement amplification mechanism

Compensation for dynamic creep of stack piezoelectric actuator

Related Author

Quan ZHANG

Xi-dan ZHANG

Xiao-jing YANG

Yun-hao PENG

Yao LI

Shou-zhu HU

Hai-lin GUO

Xue-jun WANG

Related Institution

CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics

University of Chinese Academy of Sciences

Shanghai Institute of Technical Physics of the Chinese Academy of Sciences

School of Mechanical and Electrical Engineering, Kunming University of Science and Technology

School of Mechanical and Power Engineering, East China University of Science and Technology

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰