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Artificial neural network based hysteresis compensation for piezoelectric tube scanner in atomic force microscopy

Othman, Yahya Sheriff and Mahmood, Iskandar Al-Thani and Alang Md Rashid, Nahrul Khair and Darsivan, Fadly Jashi (2012) Artificial neural network based hysteresis compensation for piezoelectric tube scanner in atomic force microscopy. In: TENCON 2012 - 2012 IEEE Region 10 Conference, 19-22 Nov 2012, Cebu, Philippines.

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Piezoelectric tube scanner is a major component that used in nanoscale imaging tools such as atomic force microscopy (AFM). This is because it can provide precise nanoscale positioning. However the precision is limited by vibration and some nonlinear drawbacks represented by creep and hysteresis. Hysteresis problem appears when positioning is needed at wide range. In this paper, a feed forward multi-layer neural network (MLNN) is trained to shape a proper control signal based on reference input and actual output signals. The experimental results show that the developed neural network scheme improves the performance of the system by significantly minimizing the effect of hysteresis.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 3614/32299
Uncontrolled Keywords: atomic force microscopy;compensation;hysteresis;image scanners;multilayer perceptrons;nanopositioning;nanosensors;photodetectors;piezoelectric devices;vibrations;ANN based hysteresis compensation;artificial neural network;atomic force microscopy;creep;feedforward MLNN;multilayer neural network;nanoscale imaging tool;nanoscale positioning;nonlinear drawback;piezoelectric tube scanner;vibration;Artificial neural networks;Biological neural networks;Electron tubes;Force;Hysteresis;Mathematical model;Atomic Force Microscopy;Hysteresis;Neural Network;Piezoelectric Tube Scanner
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Iskandar Al-Thani bin Mahmood
Date Deposited: 11 Oct 2013 15:26
Last Modified: 11 Oct 2013 15:26
URI: http://irep.iium.edu.my/id/eprint/32299

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