[1] 国家自然科学基金委员会工程与材料科学部. 机械工程学科发展战略报告(2011-2020)[M]. 北京:科学出版社,2010. Ministry of engineering and materials science of the National Natural Science Foundation of China. Strategic report on development of mechanical engineering discipline (2011-2020)[M]. Beijing:Science Press,2010.
[2] 国务院.国家中长期科学和技术发展规划纲要(2006-2020)[M]. 北京:中国法制出版社,2006. State Council. The outline of national program for long-and medium-term scientific and technological development (2006-2020)[M]. Beijing:China Legal Publishing House,2006.
[3] 王彬,屈稳太,邬义杰,等. 超磁致伸缩材料磁滞建模方法国内外研究现状评述[J]. 功能材料,2013,44(16):2295-2300. WANG Bin,QU Wentai,WU Yijie,et al. Review on hysteretic modeling of giant magnetostrictive materials[J]. Journal of Functional Materials,2013,16:2295-2300.
[4] 喻曹丰,王传礼,魏本柱,等,超磁致伸缩驱动精密定位平台的动态递归神经网络前馈-PD反馈控制[J].光学精密工程,2015,23(10z):417- 424. YU Caofeng,WANG Chuanli,WEI Benzhu,et al. DRNN feed forward-PD feedback control for precision positioning stage based on giant magnetostrictive actuator[J]. Optics and Precision Engineering,2015,23(10z):417-424.
[5] ZHU Yuchuan,LI Yuesong. A hysteresis nonlinear model of giant magnetostrictive transducer[J]. Journal of Intelligent Material Systems And Structures,2015,26(16):2242- 2255.
[6] YU Caofeng,WANG Chuanli,DENG Haishun,et al. Hysteresis nonlinearity modeling and position control for a precision positioning stage based on a giant magnetostrictive actuator[J]. RSC Advances,2016,6(64):59468-59476.
[7] ZHANG Yongfei,ZHOU Youhe. Modification of one-dimension coupled hysteresis model for GMM with the domain flexing function[J]. Acta Mechanica Solida Sinica,2014,27(5) 461-466.
[8] 贾振元,王晓煜,王福吉. 超磁致伸缩执行器的动力学参数及磁滞模型参数的辨识方法[J]. 机械工程学报,2007,43(10):9-13. JIA Zhenyuan,WANG Xiaoyu,WANG Fuji. Identificaton method of giant magnetostrictive transducer's dynamic parameters and magnetic parameters[J]. Chinese Journal of Mechanical Engineering,2007,43(10):9-13.
[9] 刘慧芳,贾振元,王福吉,等. 超磁致伸缩执行器位移模型的参数辨识[J]. 机械工程学报,2011,47(15):115-120. LIU Huifang,JIA Zhenyuan,WANG Fuji. Parameter identification of displacement model for giant magnetostrictive actuator[J]. Journal of Mechanical Engineering,2011,47(15):115-120.
[10] MENG Aihua,YANG Jianfeng,LI Mingfan,et al. Research on hysteresis compensation control of GMM[J]. Nonlinear Dynamics,2016,83(1-2):161-167.
[11] 孟爱华,祝甲明,刘成龙,等. 基于改进PSO算法的GMA迟滞模型参数辨识[J]. 控制工程,2014,21(5):735-739. MENG Aihua,ZHU Jiaming,LIU Chenglong,et al. Parameter identification of hysteretsis model for GMA based on improved PSO Algorithm[J]. Control Engineering of China,2014,21(5):735-739.
[12] WANG H,CHEN B,LIU K,et al. Adaptive neural tracking control for a class of nonstrict-feedback stochastic nonlinear systems with unknown backlash-like hysteresis[J]. IEEE transactions on neural networks and learning systems,2014,25(5):947-958.
[13] LIU Y,SHAN J,GABBERT U. Feedback/feedforward control of hysteresis-compensated piezo-electric actuators for high-speed scanning applications[J]. Smart Materials and Structure,2014,24(1):015012.
[14] RUDERMAN M,BERTRAM T. Control of magnetic shape memory actuators using observer-based inverse hysteresis approach[J]. IEEE Transactions on Control Systems Technology,2014,22(3):1181-1189.
[15] SABLIK M J,JILES D C. A model for magnetostriction hysteresis[J]. J. Appl. Phys.,1988,64(10):5402-5404.
[16] JILES D C,ATHERTON D L. Ferromagnetic hysteresis[J]. IEEE Transactions on Magnetics,1983,19(5):2183-2185.
[17] 何汉林. GMM动态迟滞特性建模及其参数辨识[D]. 杭州:杭州电子科技大学,2012. HE Hanlin. GMM dynamic hysteresis characteristics modeling and parameter identification[J]. Hangzhou:Hangzhou Dianzi University,2012.
[18] 罗德相,周永权,黄华娟. 粒子群和人工鱼群混合优化算法[J]. 计算机与应用化学,2009,26(10):1257-1261. LUO Dexiang,ZHOU Yongquan,HUANG Huajuan. Hybrid optimization algorithm based on particle swarm and artifical fish swarm algorithm[J]. Computers and Applied Chemistry,2009,26(10):1257-1261. |