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

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...

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Main Authors:	Othman, Yahya Sheriff, Mahmood, Iskandar Al-Thani, Aibinu, Abiodun Musa, Alang Md Rashid, Nahrul Khair
Format:	Article
Language:	English
Published:	Elsevier 2012
Subjects:	Q Science (General) TJ212 Control engineering
Online Access:	http://irep.iium.edu.my/25836/ http://irep.iium.edu.my/25836/ http://irep.iium.edu.my/25836/ http://irep.iium.edu.my/25836/1/Frequency_Based_Hysteresis_Compensation_for_Piezoelectric_Tube_Scanner_using_Artificial_Neural_Networks.pdf

id	iium-25836
recordtype	eprints
spelling	iium-258362012-11-06T07:11:37Z http://irep.iium.edu.my/25836/ Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks Othman, Yahya Sheriff Mahmood, Iskandar Al-Thani Aibinu, Abiodun Musa Alang Md Rashid, Nahrul Khair Q Science (General) TJ212 Control engineering 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. Elsevier 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/25836/1/Frequency_Based_Hysteresis_Compensation_for_Piezoelectric_Tube_Scanner_using_Artificial_Neural_Networks.pdf 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 http://www.sciencedirect.com/science/article/pii/S1877705812026409 10.1016/j.proeng.2012.07.240
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General) TJ212 Control engineering
spellingShingle	Q Science (General) TJ212 Control engineering Othman, Yahya Sheriff Mahmood, Iskandar Al-Thani Aibinu, Abiodun Musa Alang Md Rashid, Nahrul Khair Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks
description	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.
format	Article
author	Othman, Yahya Sheriff Mahmood, Iskandar Al-Thani Aibinu, Abiodun Musa Alang Md Rashid, Nahrul Khair
author_facet	Othman, Yahya Sheriff Mahmood, Iskandar Al-Thani Aibinu, Abiodun Musa Alang Md Rashid, Nahrul Khair
author_sort	Othman, Yahya Sheriff
title	Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks
title_short	Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks
title_full	Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks
title_fullStr	Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks
title_full_unstemmed	Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks
title_sort	frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks
publisher	Elsevier
publishDate	2012
url	http://irep.iium.edu.my/25836/ http://irep.iium.edu.my/25836/ http://irep.iium.edu.my/25836/ http://irep.iium.edu.my/25836/1/Frequency_Based_Hysteresis_Compensation_for_Piezoelectric_Tube_Scanner_using_Artificial_Neural_Networks.pdf
first_indexed	2023-09-18T20:38:30Z
last_indexed	2023-09-18T20:38:30Z
_version_	1777409207003250688

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

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