Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS
Active magnetic bearings is known to be inherently unstable systems that have a widespread applications and an increased potential research area in today’s technology. So far many controllers including H∞ robust controller has been developed for the system. However, proper selection of the requ...
| Main Authors: | , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5387/ http://irep.iium.edu.my/5387/1/mass2011_safanah.pdf |
| _version_ | 1848776494139047936 |
|---|---|
| author | M. Raafat, Safanah Akmeliawati, Rini |
| author_facet | M. Raafat, Safanah Akmeliawati, Rini |
| author_sort | M. Raafat, Safanah |
| building | IIUM Repository |
| collection | Online Access |
| description | Active magnetic bearings is known to be
inherently unstable systems that have a widespread applications
and an increased potential research area in today’s technology.
So far many controllers including H∞ robust controller has been
developed for the system. However, proper selection of the
required weighting functions for robust and non-conservative
controller synthesize is still a critical issue that needs more
investigations. In this paper the selection of uncertainty
weighting function for the robust controller synthesize is
automated by intelligent estimation of uncertainty weighting
functions using adaptive neuro fuzzy inference system (ANFIS).
Then a robust H∞ controller for the magnetic bearings is designed based on the intelligent estimated uncertainty. v- gap metric is utilized to validate the estimated uncertainty bounds for improved robust stability. Comparison with another neural based estimation method of uncertainty proves the validity of the applied approach |
| first_indexed | 2025-11-14T14:30:59Z |
| format | Proceeding Paper |
| id | iium-5387 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:30:59Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-53872012-01-25T00:07:41Z http://irep.iium.edu.my/5387/ Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS M. Raafat, Safanah Akmeliawati, Rini TJ212 Control engineering Active magnetic bearings is known to be inherently unstable systems that have a widespread applications and an increased potential research area in today’s technology. So far many controllers including H∞ robust controller has been developed for the system. However, proper selection of the required weighting functions for robust and non-conservative controller synthesize is still a critical issue that needs more investigations. In this paper the selection of uncertainty weighting function for the robust controller synthesize is automated by intelligent estimation of uncertainty weighting functions using adaptive neuro fuzzy inference system (ANFIS). Then a robust H∞ controller for the magnetic bearings is designed based on the intelligent estimated uncertainty. v- gap metric is utilized to validate the estimated uncertainty bounds for improved robust stability. Comparison with another neural based estimation method of uncertainty proves the validity of the applied approach 2011-08-30 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/5387/1/mass2011_safanah.pdf M. Raafat, Safanah and Akmeliawati, Rini (2011) Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS. In: 2011 International Conference on Management and Service Science (MASS), 12 - 14 August 2011, Wuhan, China. http://dx.doi.org/10.1109/ICMSS.2011.5999340 doi:10.1109/ICMSS.2011.5999340 |
| spellingShingle | TJ212 Control engineering M. Raafat, Safanah Akmeliawati, Rini Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS |
| title | Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS |
| title_full | Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS |
| title_fullStr | Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS |
| title_full_unstemmed | Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS |
| title_short | Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS |
| title_sort | intelligent estimation of uncertainty bounds of an active magnetic bearings using anfis |
| topic | TJ212 Control engineering |
| url | http://irep.iium.edu.my/5387/ http://irep.iium.edu.my/5387/ http://irep.iium.edu.my/5387/ http://irep.iium.edu.my/5387/1/mass2011_safanah.pdf |