A Novel Discrete ARMA-Based Model for Piezoelectric Actuator Hysteresis

被引：48
|
作者：
Cao, Y. [1 ]
Chen, X. B. [1 ]
机构：
[1] Univ Saskatchewan, Dept Mech Engn, Saskatoon, SK S7N 5A9, Canada
来源：
IEEE-ASME TRANSACTIONS ON MECHATRONICS | 2012年 / 17卷 / 04期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Autoregressive moving average (ARMA) process; hysteresis; piezoelectric devices; IDENTIFICATION;
D O I：
10.1109/TMECH.2011.2128339
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Hysteresis is an important nonlinear effect exhibited by piezoelectric actuators (PEAs) and its modeling has been drawing considerable attention. This paper presents the development of a novel discrete model based on the concept of autoregressive moving average for the PEA hysteresis, and its parameter identification method as well. Experiments were carried out to verify the effectiveness of the developed model. The result obtained shows that the developed model can well represent the PEA hysteresis, with improved performance over an existing discrete hysteresis model.
引用
收藏
页码：737 / 744
页数：8
相关论文
共 50 条
  • [21] A New Type of Neural Network Preisach Model for Hysteresis in Piezoelectric Actuator
    Liu, Diantong
    Wang, Wei
    2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 2, 2010, : 379 - 382
  • [22] A modified direct inverse Prandtl-Ishlinskii model based on two sets of operators for the piezoelectric actuator hysteresis compensation
    Cheng, Liqun
    Chen, Wanzhong
    Tian, Liguo
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2022, 68 (02) : 177 - 191
  • [23] Modified Rate-dependent Hysteresis Modeling of Piezoelectric Actuator
    Guo, Zhiyong
    Tian, Yanling
    Qi, Houjun
    2014 INTERNATIONAL CONFERENCE ON MANIPULATION, MANUFACTURING AND MEASUREMENT ON THE NANOSCALE (3M-NANO), 2014, : 206 - 210
  • [24] Memory-Element-Based Hysteresis: Identification and Compensation of a Piezoelectric Actuator
    Strijbosch, Nard
    Tiels, Koen
    Oomen, Tom
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2023, 31 (06) : 2863 - 2870
  • [25] A reinforcement discrete neuro-adaptive control for unknown piezoelectric actuator systems with dominant hysteresis
    Hwang, CL
    Jan, C
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2003, 14 (01): : 66 - 78
  • [26] A Digitized Representation of the Modified Prandtl-Ishlinskii Hysteresis Model for Modeling and Compensating Piezoelectric Actuator Hysteresis
    Zhou, Chao
    Feng, Chen
    Aye, Yan Naing
    Ang, Wei Tech
    MICROMACHINES, 2021, 12 (08)
  • [27] Hysteresis modeling of piezoelectric actuator using particle swarm optimization-based neural network
    Zhang, Quan
    Shen, Xin
    Zhao, Jianguo
    Xiao, Qing
    Huang, Jun
    Wang, Yuan
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2020, 234 (23) : 4695 - 4707
  • [28] Adaptive identification and control of hysteresis for piezoelectric actuator
    Ru, Chang-Hai
    Pang, Bo-Hui
    Wang, Ke-Jun
    Ye, Xiu-Fen
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 2834 - +
  • [29] State estimation of non-linear piezoelectric stack actuator hysteresis model
    Minase, Jayesh L.
    Lu, Tien-Fu
    Wornle, Frank
    SMART STRUCTURES, DEVICES, AND SYSTEMS III, 2007, 6414
  • [30] A modified HO-based model of hysteresis in piezoelectric actuators
    Ma, Lianwei
    Shen, Yu
    Li, Jinrong
    Zhao, Xinlong
    SENSORS AND ACTUATORS A-PHYSICAL, 2014, 220 : 316 - 322
12345