Volume 39 Issue 7
Jul.  2013
Turn off MathJax
Article Contents
Liu Ping, Mao Jianqin, Zhang Wei, et al. Modeling and control of giant magnetostrictive actuators based on Hammerstein-like model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(7): 917-921,926. (in Chinese)
Citation: Liu Ping, Mao Jianqin, Zhang Wei, et al. Modeling and control of giant magnetostrictive actuators based on Hammerstein-like model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(7): 917-921,926. (in Chinese)

Modeling and control of giant magnetostrictive actuators based on Hammerstein-like model

  • Received Date: 23 Jul 2012
  • Publish Date: 30 Jul 2013
  • The rate-dependent hysteresis in giant magnetostrictive materials is a major impediment to the application of such material in actuators. A Hammerstein-like model based on the least square support vector machines (LS-SVM) was proposed to model the rate-dependent hysteresis system. It was possible to construct a unique dynamic model in a given frequency range for a rate-dependent hysteresis system using the sinusoidal scanning signals as the training set of signals for the linear dynamic subsystem of the Hammerstein-like model, which guaranteed an outstanding generalization ability of frequency. Subsequently, a proportional-integral-derivative (PID) feedback control scheme combined with a feed-forward compensation was implemented to a magnetostrictive smart structure for real-time precise trajectory tracking. Simulations and experiments on a giant magnetostrictive actuator (GMA) verify both the effectiveness and the practicality of the proposed modeling and control methods.

     

  • loading
  • [1]
    Oh J,Bernstein D S.Piecewise linear identification for the rate-independent and rate-dependent Duhem hysteresis models [J].IEEE Transactions on Automatic Control,2007,52(3):576-582
    [2]
    Yu Y,Xiao Z,Naganathan N G,et al.Dynamic Preisach modeling of hysteresis for the piezoceramic actuator system [J].Mechanism and Machine Theory,2002,37(1):75-89
    [3]
    Tan U X,Win T L,Shee C Y,et al.Rate-dependent hysteresis model of piezoelectric using singularity free Prandtl-Ishlinskii model [C]// Janeiph X.Proceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation.Jacksonville:IEEE,2007:356-361
    [4]
    Janaideh M A,Rakheja S,Su C Y.Experimental characterization and modeling of rate-dependent hysteresis of a piezoceramic actuator [J].Mechatronics,2009,19(5):656-670
    [5]
    Oh J,Bernstein D S.Identification of rate-dependent hysteresis using the semilinear Duhem model [C]// Perter J.Proceeding of the 2004 American Control Conference.Boston:IEEE,2004:4776-4781
    [6]
    Lien J P,York A,Fang T,et al.Modeling piezoelectric actuators with hysteretic recurrent neural networks [J].Sensors and Actuators A:Physical,2010,163(2):516-525
    [7]
    Mao J Q,Ding H S.Intelligent modeling and control for rate-dependent hysteresis system [J].Science in China (Series F:Information Sciences),2009,39(3):289-304
    [8]
    Zhang X L,Tan Y H,Su M Y,et al.Neural networks based identification and compensation of rate-dependent hysteresis in piezoelectric actuators [J].Physica B:Condensed Matter,2010,405(12):2687-2693
    [9]
    Chen X K,Hisayama T,Su C Y.Pseudo-inverse-based adaptive control for uncertain discrete time systems preceded by hysteresis [J].Automatica,2009,45(2):469-476
    [10]
    Feng Y,Rabbath C A,Hong H,et al.Robust control for shape memory alloy micro-actuators based flap positioning system [C]//Gero P.Proceedings of the American Control Conference,Baltimore:IEEE,2010:4181-4186
    [11]
    Oates W S,Smith R C.Nonlinear optimal control techniques for vibration attenuation using magnetostrictive actuators [J].Journal of Intelligent Material Systems and Structures,2008,19(2):193-209
    [12]
    Eskinat E,Johnson S H,Luyben W L.Use of Hammerstein models in identification of nonlinear systems [J].AIChE Journal,1991,37(2):255-268
    [13]
    Rochdi Y,Giri F,Gning J B,et al.Identification of block-oriented systems in the presence of nonparametric input nonlinearities of switch and backlash types [J].Automatica,2010,46(5):864-877
    [14]
    Suykens J A K,Gestel T V,Brabantor J D,et al.Least squares support vector machines [M].New York:World Scientific,2002:196-201
    [15]
    Shi Y H,Eberhart R C.Empirical study of particle swarm optimization [C]//Shi Y H.Proceedings of Congress on Evolutionary Computation.Washington:IEEE,1999:1945-1950
    [16]
    Mao J Q,Ding H S,Ma Y H.Fuzzy dynamic model of a giant magnetostrictive actuator [J].Materials Science Forum,2007,546-549:2183-2188
    [17]
    Zhang H B,Jiang C B,Wang Z B,et al.Effect of compressive stress on magnetostriction hysteresis of <110> oriented Tb0.29Dy0.48Ho0.23Fe2 crystal [J].Journal of Alloys and Compounds,2009,475(1/2):35-37
    [18]
    Hunt K J,Sbarbaro D.Neural networks for nonlinear internal model control [J].IEE Proceedings-D of Control Theory and Applications,1991,138(5):431-438
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(1446) PDF downloads(407) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return