标题:Precision control of piezoelectric actuated mechanism in Scanning Tunneling Microscope
作者:Wei, Qiang ;Hu, Chengzhong ;Zhang, Dong
通讯作者:Wei, Q
作者机构:[Wei, Qiang ;Hu, Chengzhong ] School of Physics and Electronic Engineering, Taishan University, Taian, Shandong 271021, China;[Zhang, Dong ] School of 更多
会议名称:2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
会议日期:7 July 2010 through 9 July 2010
来源:Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
出版年:2010
页码:1262-1267
DOI:10.1109/WCICA.2010.5554927
关键词:Adaptive control; Neural Network; PID; Piezo-positioning mechanism; Ultra precision
摘要:Piezoelectric actuators are popularly applied in precision positioning mechanism in Scanning Tunneling Microscope due to its advantage of nanometer resolution. Accurate tracking is difficult to be achieved owing to the intrinsic nonlinear hysteresis of piezoelectric ceramics. An adaptive control scheme combining neural network with traditional PID controller is proposed to improve the performance of precision mechanism in STMs. The mathematical model with hysteresis parameters is given. The displacement in next step is predicted by an estimator, and mechanical coefficient is identified on-line. Parameters in the traditional PID controller are modified through adjusting the weight values in the neural network with the function of self-learning and adaptability. Some experiments are made to validate the effectiveness of the proposed method. The results show that high performance dynamic characteristics are achieved, and the system transient response is improved in comparison with the traditional PID control. © 2010 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958133968&doi=10.1109%2fWCICA.2010.5554927&partnerID=40&md5=d918854668529790c75986c530dd7498
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