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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/23111/ http://irep.iium.edu.my/23111/1/pp118.pdf |
| _version_ | 1848779106962898944 |
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| author | Rafaat, Safanah Martono, Wahyudi Akmeliawati, Rini Legowo, Ari |
| author_facet | Rafaat, Safanah Martono, Wahyudi Akmeliawati, Rini Legowo, Ari |
| author_sort | Rafaat, Safanah |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:12:30Z |
| format | Proceeding Paper |
| id | iium-23111 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:12:30Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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/ |
| 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 |
| title | 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_short | Intelligent robust control of high precision positioning systems using ANFIS |
| title_sort | intelligent robust control of high precision positioning systems using anfis |
| topic | TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) |
| url | http://irep.iium.edu.my/23111/ http://irep.iium.edu.my/23111/ http://irep.iium.edu.my/23111/1/pp118.pdf |