Intelligent robust control design of a Precise Positioning System
This paper addresses an intelligent uncertainty function to improve the robust stability and performance of H∞ controlled system in terms of reduced conservatism. The system is identified, out-put performance and control signal requirements are controlled by proper selection of performance and contr...
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| Format: | Article |
| Language: | English |
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ICROS and KIEE
2010
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| Online Access: | http://irep.iium.edu.my/2524/ http://irep.iium.edu.my/2524/1/Intelligent_Robust_Control_Design_of_a_Precise_Positioning_System.pdf |
| _version_ | 1848776017355735040 |
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| author | M. Raafat, Safanah Akmeliawati, Rini Martono, Wahyudi |
| author_facet | M. Raafat, Safanah Akmeliawati, Rini Martono, Wahyudi |
| author_sort | M. Raafat, Safanah |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper addresses an intelligent uncertainty function to improve the robust stability and performance of H∞ controlled system in terms of reduced conservatism. The system is identified, out-put performance and control signal requirements are controlled by proper selection of performance and control weighting functions. Adaptive Neuro Fuzzy Inference System (ANFIS) learns the uncertainty bounds of model uncertainty that results from unmodeled dynamics and parameter variations, then the developed uncertainty weighting function will be included in the synthesis of the H∞ controller. v-gap measure is utilized to validate the intelligent identified uncertainty bounds and measure the stability of the designed H∞ controlled system as well. Experimental results on a servo motion system reveal the advantages of combining intelligent uncertainty identification and robust control. Improved perform-ance is achieved. The proposed approach also allows for iterative experiment design. |
| first_indexed | 2025-11-14T14:23:24Z |
| format | Article |
| id | iium-2524 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:23:24Z |
| publishDate | 2010 |
| publisher | ICROS and KIEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-25242011-11-21T23:55:09Z http://irep.iium.edu.my/2524/ Intelligent robust control design of a Precise Positioning System M. Raafat, Safanah Akmeliawati, Rini Martono, Wahyudi TK Electrical engineering. Electronics Nuclear engineering This paper addresses an intelligent uncertainty function to improve the robust stability and performance of H∞ controlled system in terms of reduced conservatism. The system is identified, out-put performance and control signal requirements are controlled by proper selection of performance and control weighting functions. Adaptive Neuro Fuzzy Inference System (ANFIS) learns the uncertainty bounds of model uncertainty that results from unmodeled dynamics and parameter variations, then the developed uncertainty weighting function will be included in the synthesis of the H∞ controller. v-gap measure is utilized to validate the intelligent identified uncertainty bounds and measure the stability of the designed H∞ controlled system as well. Experimental results on a servo motion system reveal the advantages of combining intelligent uncertainty identification and robust control. Improved perform-ance is achieved. The proposed approach also allows for iterative experiment design. ICROS and KIEE 2010-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/2524/1/Intelligent_Robust_Control_Design_of_a_Precise_Positioning_System.pdf M. Raafat, Safanah and Akmeliawati, Rini and Martono, Wahyudi (2010) Intelligent robust control design of a Precise Positioning System. International Journal of Control, Automation and Systems, 8 (5). pp. 1123-1132. ISSN 15986446 http://www.ijcas.com/IJCAS_default.asp DOI: 10.1007/s12555-010-0521-0 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering M. Raafat, Safanah Akmeliawati, Rini Martono, Wahyudi Intelligent robust control design of a Precise Positioning System |
| title | Intelligent robust control design of a Precise Positioning System |
| title_full | Intelligent robust control design of a Precise Positioning System |
| title_fullStr | Intelligent robust control design of a Precise Positioning System |
| title_full_unstemmed | Intelligent robust control design of a Precise Positioning System |
| title_short | Intelligent robust control design of a Precise Positioning System |
| title_sort | intelligent robust control design of a precise positioning system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/2524/ http://irep.iium.edu.my/2524/ http://irep.iium.edu.my/2524/ http://irep.iium.edu.my/2524/1/Intelligent_Robust_Control_Design_of_a_Precise_Positioning_System.pdf |