Different intelligent robust control schemes for precise positioning system
This paper presents the design of two different H∞ robust controllers for a single axis positioning system via two different schemes; The 2 H∞ robust controller, which is suitable for accurate tracking performance and an integrator-H∞ robust controller which can also be tuned for accurate tracking....
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iium-53612011-11-21T22:02:12Z http://irep.iium.edu.my/5361/ Different intelligent robust control schemes for precise positioning system Raafat, Safanah M. Akmeliawati, Rini Martono, Wahyudi TJ212 Control engineering This paper presents the design of two different H∞ robust controllers for a single axis positioning system via two different schemes; The 2 H∞ robust controller, which is suitable for accurate tracking performance and an integrator-H∞ robust controller which can also be tuned for accurate tracking. However, each approach has some certain features that need to be investigated for the application under study. Adaptive neural fuzzy inference system is utilized in both schemes to develop a non-conservative accurate uncertainty weighting function. Both methods can achieve wide bandwidth, high resolution, improved tracking performance, and robustness to modelling uncertainties, as will be demonstrated in the experimental results. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5361/1/icsgrc2010_safanah.pdf Raafat, Safanah M. and Akmeliawati, Rini and Martono, Wahyudi (2010) Different intelligent robust control schemes for precise positioning system. In: 2010 IEEE Control and System Graduate Research Colloquium (ICSGRC)., 22 June 2010, Shah Alam, Selangor, Malaysia. http://dx.doi.org/10.1109/ICSGRC.2010.5562532 doi:10.1109/ICSGRC.2010.5562532 |
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Local University |
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International Islamic University Malaysia |
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Online Access |
language |
English |
topic |
TJ212 Control engineering |
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TJ212 Control engineering Raafat, Safanah M. Akmeliawati, Rini Martono, Wahyudi Different intelligent robust control schemes for precise positioning system |
description |
This paper presents the design of two different H∞ robust controllers for a single axis positioning system via two different schemes; The 2 H∞ robust controller, which is suitable for accurate tracking performance and an integrator-H∞ robust controller which can also be tuned for accurate tracking. However, each approach has some certain features that need to be investigated for the application under study. Adaptive neural fuzzy inference system is utilized in both schemes to develop a non-conservative accurate uncertainty weighting function. Both methods can achieve wide bandwidth, high resolution, improved tracking performance, and robustness to modelling uncertainties, as will be demonstrated in the experimental results. |
format |
Conference or Workshop Item |
author |
Raafat, Safanah M. Akmeliawati, Rini Martono, Wahyudi |
author_facet |
Raafat, Safanah M. Akmeliawati, Rini Martono, Wahyudi |
author_sort |
Raafat, Safanah M. |
title |
Different intelligent robust control schemes for precise positioning system |
title_short |
Different intelligent robust control schemes for precise positioning system |
title_full |
Different intelligent robust control schemes for precise positioning system |
title_fullStr |
Different intelligent robust control schemes for precise positioning system |
title_full_unstemmed |
Different intelligent robust control schemes for precise positioning system |
title_sort |
different intelligent robust control schemes for precise positioning system |
publishDate |
2010 |
url |
http://irep.iium.edu.my/5361/ http://irep.iium.edu.my/5361/ http://irep.iium.edu.my/5361/ http://irep.iium.edu.my/5361/1/icsgrc2010_safanah.pdf |
first_indexed |
2023-09-18T20:13:54Z |
last_indexed |
2023-09-18T20:13:54Z |
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1777407659504304128 |