DocumentCode
3572752
Title
Feedforward hysteresis calibration of piezoelectric actuator in AFM based on inverse model identification
Author
Dong Wang ; Yu Peng ; Lei Zhou ; Zhu Liu ; Yang Yang ; Zaili Dong ; Lianqing Liu
Author_Institution
State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
fYear
2014
Firstpage
1561
Lastpage
1566
Abstract
Atomic force microscopy (AFM) has been widely applied in the field of science and technology because it can observe and manipulate at the nanometer scale. The piezoelectric is a regular choice for the actuator of AFM because of its high resolution and fast response. However, the intrinsic hysteresis nonlinearity weakens the accuracy of the observation and manipulation of AFM. Aiming at the hysteresis problem of the piezoelectric actuators in AFM, a modified feedforward calibration method based on the Prandtl-Ishlinskii (PI) model was proposed. By the means of identify the parameters of inverse model directly, the modified method simplify the obtaining procedure for the PI inverse model. The restriction to obtain the inverse model was removed, and the computational complexity was decreased. Experiments validate that the method is effective in reducing errors due to hysteresis, and improving AFM image quality.
Keywords
PI control; atomic force microscopy; control nonlinearities; feedforward; piezoelectric actuators; AFM image quality; PI inverse model; Prandtl-Ishlinskii model; atomic force microscopy; computational complexity; feedforward calibration method; feedforward hysteresis calibration; hysteresis nonlinearity; inverse model identification; piezoelectric actuator; proportional-integral model; Adaptive optics; Calibration; Computational modeling; Hysteresis; Inverse problems; Microscopy; Probes; atomic force microscopy; hysteresis calibration; identify inverse model directly; piezoelectric actuator;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type
conf
DOI
10.1109/WCICA.2014.7052952
Filename
7052952
Link To Document