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:
Online Access:http://irep.iium.edu.my/23111/1/pp118.pdf
http://irep.iium.edu.my/23111/
http://www.iium.edu.my/irie/10/
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.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 REM 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/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/23111/1/pp118.pdf
http://irep.iium.edu.my/23111/
http://www.iium.edu.my/irie/10/
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