Intelligent robust control of high precision positioning systems using ANFIS

Modern mechanical systems, such as machine tools, microelectronics manufacturing equipment, are often required to operate in high speed to yield high productivity. At the same time, precision/accuracy requirement becomes more and more stringent because of factors like the reduced size of compone...

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Main Authors:	Rafaat, Safanah, Martono, Wahyudi, Akmeliawati, Rini, Legowo, Ari
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
Online Access:	http://irep.iium.edu.my/23111/ http://irep.iium.edu.my/23111/ http://irep.iium.edu.my/23111/1/pp118.pdf

id	iium-23111
recordtype	eprints
spelling	iium-231112017-06-21T05:25:44Z http://irep.iium.edu.my/23111/ Intelligent robust control of high precision positioning systems using ANFIS Rafaat, Safanah Martono, Wahyudi Akmeliawati, Rini Legowo, Ari TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Modern mechanical systems, such as machine tools, microelectronics manufacturing equipment, are often required to operate in high speed to yield high productivity. At the same time, precision/accuracy requirement becomes more and more stringent because of factors like the reduced size of components in modern mechanical devices or microelectronics products and high-quality surface-finishing requirements. High Precision Positioning System (HPPS) usually requires a good control to satisfy the requirement: robust high accuracy positioning and tracking performance at high speed, fast response with no or small overshoot and robustness to uncertainties. The development of robust control systems for HPPS is an attempt to provide guaranteed stability despite uncertainties and disturbances associated with the plant. However, robust control techniques require a dynamic model of the plant under study and bounds on modeling uncertainty to develop control laws with guaranteed stability. Although identification techniques for modeling dynamic systems and estimating model parameters are well established, very few procedures exist for estimating uncertainty bounds. A conservative bound is usually chosen to ensure robust stability, which will severely affect the high performance requirement of HPPS. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/23111/1/pp118.pdf Rafaat, Safanah and Martono, Wahyudi and Akmeliawati, Rini and Legowo, Ari (2010) Intelligent robust control of high precision positioning systems using ANFIS. In: IIUM Research, Innovation & Invention Exhibition (IRIIE 2010), 26 - 27 January 2010, Kuala Lumpur. http://www.iium.edu.my/irie/10/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
spellingShingle	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Rafaat, Safanah Martono, Wahyudi Akmeliawati, Rini Legowo, Ari Intelligent robust control of high precision positioning systems using ANFIS
description	Modern mechanical systems, such as machine tools, microelectronics manufacturing equipment, are often required to operate in high speed to yield high productivity. At the same time, precision/accuracy requirement becomes more and more stringent because of factors like the reduced size of components in modern mechanical devices or microelectronics products and high-quality surface-finishing requirements. High Precision Positioning System (HPPS) usually requires a good control to satisfy the requirement: robust high accuracy positioning and tracking performance at high speed, fast response with no or small overshoot and robustness to uncertainties. The development of robust control systems for HPPS is an attempt to provide guaranteed stability despite uncertainties and disturbances associated with the plant. However, robust control techniques require a dynamic model of the plant under study and bounds on modeling uncertainty to develop control laws with guaranteed stability. Although identification techniques for modeling dynamic systems and estimating model parameters are well established, very few procedures exist for estimating uncertainty bounds. A conservative bound is usually chosen to ensure robust stability, which will severely affect the high performance requirement of HPPS.
format	Conference or Workshop Item
author	Rafaat, Safanah Martono, Wahyudi Akmeliawati, Rini Legowo, Ari
author_facet	Rafaat, Safanah Martono, Wahyudi Akmeliawati, Rini Legowo, Ari
author_sort	Rafaat, Safanah
title	Intelligent robust control of high precision positioning systems using ANFIS
title_short	Intelligent robust control of high precision positioning systems using ANFIS
title_full	Intelligent robust control of high precision positioning systems using ANFIS
title_fullStr	Intelligent robust control of high precision positioning systems using ANFIS
title_full_unstemmed	Intelligent robust control of high precision positioning systems using ANFIS
title_sort	intelligent robust control of high precision positioning systems using anfis
publishDate	2010
url	http://irep.iium.edu.my/23111/ http://irep.iium.edu.my/23111/ http://irep.iium.edu.my/23111/1/pp118.pdf
first_indexed	2023-09-18T20:35:02Z
last_indexed	2023-09-18T20:35:02Z
_version_	1777408989209821184

Intelligent robust control of high precision positioning systems using ANFIS

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