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Sensorless Image Based Positioning Control Strategy Design for AFM Systems

作     者:LU Han FANG Yongchun 

作者单位:Institute of Robotics and Automatic Information SystemNankai University Tianjin Key Laboratory of Intelligent RoboticsNankai University 

会议名称:《第36届中国控制会议》

会议届次:36

主办单位:Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)

会议日期:2017年

学科分类:080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程] 0803[工学-光学工程] 

基  金:supported by the National Science Fund for Distinguished Young Scholars of China under Grant No.61325017 the National Natural Science Foundation(NNSF)of China under Grant No.61633012 

关 键 词:Atomic Force Microscope(AFM) Sensorless Positioning Control Strategy Image Based Positioning Control Distortion Compensation Model Spiral Trajectory Planning 

摘      要:As a typical tool for micro/nano imaging and manipulations,an atomic force microscope(AFM) has been widely used in a variety of areas including biology,materials,chemistry,physics,and so ***,to accurately implement nanomanipulation tasks for an AFM system,it is essential to design a high-precision positioning control strategy with nanometer ***,unfortunately,owing to the drawbacks of piezo-hysteresis,cross-coupling of piezoelectric and other nonlinear characteristics of this system,the positioning control of the probe for an AFM-based nanomanipulation system is still a challenging ***,in most cases,a displacement sensor,which can detect position signals in real time,is hard to be applied into an AFM system directly,which leads to much more limitations in designing an efficient positioning *** tackle these problems,in this paper,an image based high-precision positioning control strategy for AFM systems is first proposed,which presents high-precision probe positioning without using any displacement sensors,and instead,the scanned image is the only feedback information we *** particular,firstly a constant velocity spiral scanning pattern as well as a Gaussian functionbased distortion compensation model are proposed to obtain an undistorted ***,a spiral trajectory planning based coarse positioning method is adopted to ensure a smooth and robust positioning process for most general ***,considering some regular structure samples like particles,an improved local line scanning based method is proposed to further ensure more accurate positioning ***,some simulation results are presented to demonstrate the performance of the whole proposed positioning control strategy.

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