Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks

Othman, Yahya Sheriff and Mahmood, Iskandar Al-Thani and Aibinu, Abiodun Musa and Alang Md Rashid, Nahrul Khair (2012) Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks. Procedia Engineering, 41. 757 - 763. ISSN 1877-7058

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Abstract

Piezoelectric positioners are widely used as a nano technology tools. A common application of piezoelectric positioners is the piezoelectric tube scanner. This is because they guarantee a precise nanoscale positioning. However, there are some losses of positioning precession due to vibration in fast scanning, and some nonlinear drawbacks represented by creep and hysteresis. Hysteresis problem appears at wide scanning range. For such a nonlinear problem, it is impossible to get an exact model for control system design. Therefore, in this paper a neural network scheme has been used to generate a proper control signal based on open-loop input/output (I/O) data. Control signal is then calculated in frequency domain based on I/O spectrum. Neural network is trained offline using set of reference signal harmonics to produce the required control signal harmonics. An inverse Fourier transform is performed to obtain the time domain control signal. Experimental results show that the developed control scheme improves the performance of the system by minimizing the effect of hysteresis.

Item Type:	Article (Journal)
Additional Information:	3614/25836
Uncontrolled Keywords:	atomic force microscopy;hysteresis compensation;hysteresis modeling;piezoelectric tube scanner;neural network;piezoelectric devices;
Subjects:	Q Science > Q Science (General) 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:	06 Nov 2012 15:11
Last Modified:	06 Nov 2012 15:11
URI:	http://irep.iium.edu.my/id/eprint/25836

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