Linearity hysteresis model of giant magnetostrictive components for non-cylindrical hole precision machining

ZHANG Lei; WU Yi-jie; LIU Xiao-liang; WANG Bin

doi:10.3788/OPE.20122002.0287

您当前的位置：

首页 >

文章列表页 >

Linearity hysteresis model of giant magnetostrictive components for non-cylindrical hole precision machining

Article | 更新时间：2020-08-12

- Linearity hysteresis model of giant magnetostrictive components for non-cylindrical hole precision machining
- Optics and Precision Engineering Vol. 20, Issue 2, Pages: 287-295(2012)
- 作者机构：
  
  浙江大学流体动力与机电系统国家重点实验室现代制造工程研究所,浙江杭州,310027
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20122002.0287
  CLC： TG713;TP271
- Received：13 September 2011，
  
  Revised：28 October 2011，
  
  Published Online：25 February 2012，
  
  Published：25 February 2012
- 稿件说明：
移动端阅览
张雷, 邬义杰, 刘孝亮, 王彬. 用于异形孔精密加工的超磁致伸缩构件的线性化迟滞建模[J]. 光学精密工程, 2012,20(2): 287-295

ZHANG Lei, WU Yi-jie, LIU Xiao-liang, WANG Bin. Linearity hysteresis model of giant magnetostrictive components for non-cylindrical hole precision machining[J]. Editorial Office of Optics and Precision Engineering, 2012,20(2): 287-295
张雷, 邬义杰, 刘孝亮, 王彬. 用于异形孔精密加工的超磁致伸缩构件的线性化迟滞建模[J]. 光学精密工程, 2012,20(2): 287-295 DOI： 10.3788/OPE.20122002.0287.

ZHANG Lei, WU Yi-jie, LIU Xiao-liang, WANG Bin. Linearity hysteresis model of giant magnetostrictive components for non-cylindrical hole precision machining[J]. Editorial Office of Optics and Precision Engineering, 2012,20(2): 287-295 DOI： 10.3788/OPE.20122002.0287.

摘要

根据超磁致伸缩构件精密加工异形孔刀具轨迹的特点

采用纯延时环节串联线性化模型

建立其在高频驱动下驱动电流与输出微位移的迟滞非线性动态模型。通过一定频率下驱动电流与输出位移的相关辨识

获得系统纯延时环节的补偿参数

并建立了驱动电流与无相位差输出位移的线性化模型。当实时控制时

通过迟滞非线性模型的直接逆模型补偿

使位移输出与异形孔的理想刀具轨迹一致。实验验证表明

直接逆模型的最大开环控制误差为2.7 m

最大相对误差为10%。进一步对构件进行微位移反馈闭环控制

实验误差最大值为1.2 m

最大相对误差为7%

提高了系统的控制精度。

Abstract

According to the tool path characters of non-cylindrical hole precision machining by giant magnetostrictive components

a dynamic hysteresis model of giant magnetostrictive components was established by a pure delay transfer function and the linearity model between high-frequency driving currents and micro-displacement responses. The pure delay compensation parameters of the system were obtained by the relevant identification of driven currents and output displacements with a certain frequency. Then

a mapping model of the driven currents and output displacements without delay was established. The output displacement met the ideal tool paths of non-cylindrical hole boring by direct inverse model and delay compensation in real-time control. The results in verification experiments indicate that the maximum control error is 2.7 m

and the maximum relative error is about 10%. By integration of micro-displacement feedback control

the accuracy of the component is im proved further

the maximum control error is 1.2 m

and the maximum relative error is about 7%.

关键词

Keywords

references

孙宝元.现代执行器技术[M]. 长春: 吉林大学出版社, 2003: 144-180. SUN B Y. Modern Actuators[M].Changchun:Jilin University Press,2003:144-180.(in Chinese)[2] 赵章荣,邬义杰,顾新建,等. 用神经网络结构实现超磁致伸缩智能构件滑模控制[J]. 光学精密工程, 2009, 17(4):778-786. ZHAO ZH R,WU Y J,GU X J, et al.. Implementation of sliding mode control of giant magnetostrictive smart component by neural network[J]. Opt. Precision Eng., 2009, 17(4): 778-786. (in Chinese)[3] MAYERGOYZ D . Dynamic preisach models of hysteresis[J].IEEE Trans on Magetics, 1988, 24(6):2927-2929.[4] 龚大成,唐志峰,吕福在,等. 非线性Preisach理论与超磁致伸缩执行器高阶迟滞建模[J]. 机械工程学报, 2009, 45(12):252-256. GONG D CH, TANG ZH F, LV F Z, et al.. Nonlinear preisach model and high order hystersis modeling for giant magnetostrictive actuator[J]. Journal of Mechanical Engineering, 2009, 45(12):252-256. (in Chinese)[5] TAN X, BARAS J S. Adaptive identification and control of hysteresis in smart materials [J]. IEEE Transactions on Automatic Control,2005, 50(6):827-828.[6] 李欣欣,王文,陈子辰. 超磁致伸缩致动器的广义预测-多模PID控制[J]. 光学精密工程, 2010, 18(2):412-419. LI X X, WANG W, CHEN Z CH. Generalized predictive-multimode PID control for giant magnetostrictive actuators[J]. Opt. Precision Eng., 2010, 18(2):412-419. (in Chinese)[7] 王湘江,王兴松. 基于KP模型的GMA迟滞系统辨识与补偿[J]. 中国机械工程, 2008, 19(10):1167-1173. WANG X J,WANG X S. GMA hysteresis system identification and compensation based on KP model[J]. China Mechanical Engineering, 2008, 19(10):1167-1173. (in Chinese)[8] 曹淑瑛,郑加驹,王博文,等. 基于动态递归神经网络的超磁致伸缩驱动器精密位移控制[J]. 中国电机工程学报, 2006, 26(3): 106-111. CAO SH Y, ZHENG J J, WANG B W, et al.. Precision position control for giant magnetostrictive actuator based on dynamic recurrent neural network[J]. Proceedings of the CSEE, 2006,26(3):106-111. (in Chinese)[9] CAVALLO A,NATALE C,PIROZZI S,et al..Feedback control systems for micropositioning tasks with hysteresis compensation [J].IEEE Trans. Magn., 2004,40(2):876-879.[10] NEALIS J, SMITH R C. Model-Based robust control design for magnetostrictive transducers operating in hysteretic and nonlinear regimes [J]. IEEE Transactions on Control Systems Technology, 2007,15(1):22239.

Views

433

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Identification and compensation of friction for modular joints based on grey wolf optimizer

Identification method of micro-vibration parameters of satellite reaction wheelsunder continuous rotating speed

Parameter calibration of 6-dof parallel mechanism using orthogonal displacement measurement system

Fractional order modeling and experimental verification of hysteresis nonlinearities in piezoelectric actuators

Rate-dependent dynamic hysteresis modeling of piezoelectric micro platform and its parameter identification

Related Author

Zhen-bang XU

Ming-chao ZHU

En-yang ZHANG

Hua-yang SAI

Jing-kai CUI

Lin YANG

Yan-song WANG

Lei WEI

Related Institution

Center of Materials Science and Optoelectronics Engineering， University of Chinese Academy of Sciences

University of Chinese Academy of Sciences

Changchun Institute of Optics，Fine Mechanics and Physics，Chinese Academy of Sciences

Institute of Space Sciences， Shandong University

Institute of Frontier and Interdisciplinary， Shandong University

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