Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation
The conventional methods of observer poles placement in sensor fault detection usually adopt the trial-and-error methods. These methods cannot achieve global optimal performance because of their fixed poles placement and it leads to an observer with constant parameters, which could be reducing the...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/94405/ |
| _version_ | 1848861988487168000 |
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| author | Eissa, Magdy Abdullah Sali, Aduwati Ahmad, Faisul Arif Darwish, Rania R. |
| author_facet | Eissa, Magdy Abdullah Sali, Aduwati Ahmad, Faisul Arif Darwish, Rania R. |
| author_sort | Eissa, Magdy Abdullah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The conventional methods of observer poles placement in sensor fault detection usually adopt
the trial-and-error methods. These methods cannot achieve global optimal performance because of their fixed
poles placement and it leads to an observer with constant parameters, which could be reducing the system
performance. Therefore, this paper proposes a fuzzy-based observer tuning method to optimize and adapt the
selection of poles locations to determine the optimal gains of the observer, and it is experimentally applied to
a composite sensor fault detection. Fuzzy logic is a promising method that could overcome the trial-and-error
method challenges by introducing better adaptation and system robustness. The proposed observer structure
includes adaptive tuning corresponding to an unknown input. Utilizing self-tuning for the observer correction
stage, the gain is going to be updated online using the proposed fuzzy adaptive poles placement (FAPP)
system. This paper validated the system simulation by implementing fault detection algorithms by using a
real-time embedded observer-based system. The experimental results demonstrate the effectiveness of the
proposed fuzzy-based observer schemes at detecting sensor faults in the Brushless DC (BLDC) motors, with
significantly better performance than conventional counterparts’ methodologies. The experiments indicate
that the average estimation error is 0.146, which less by 43.8% than was obtained for high levels of noise
and disturbances compared with the traditional Luenberger observer approach. |
| first_indexed | 2025-11-15T13:09:52Z |
| format | Article |
| id | upm-94405 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:09:52Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-944052023-03-01T09:25:28Z http://psasir.upm.edu.my/id/eprint/94405/ Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation Eissa, Magdy Abdullah Sali, Aduwati Ahmad, Faisul Arif Darwish, Rania R. The conventional methods of observer poles placement in sensor fault detection usually adopt the trial-and-error methods. These methods cannot achieve global optimal performance because of their fixed poles placement and it leads to an observer with constant parameters, which could be reducing the system performance. Therefore, this paper proposes a fuzzy-based observer tuning method to optimize and adapt the selection of poles locations to determine the optimal gains of the observer, and it is experimentally applied to a composite sensor fault detection. Fuzzy logic is a promising method that could overcome the trial-and-error method challenges by introducing better adaptation and system robustness. The proposed observer structure includes adaptive tuning corresponding to an unknown input. Utilizing self-tuning for the observer correction stage, the gain is going to be updated online using the proposed fuzzy adaptive poles placement (FAPP) system. This paper validated the system simulation by implementing fault detection algorithms by using a real-time embedded observer-based system. The experimental results demonstrate the effectiveness of the proposed fuzzy-based observer schemes at detecting sensor faults in the Brushless DC (BLDC) motors, with significantly better performance than conventional counterparts’ methodologies. The experiments indicate that the average estimation error is 0.146, which less by 43.8% than was obtained for high levels of noise and disturbances compared with the traditional Luenberger observer approach. Institute of Electrical and Electronics Engineers 2021-06 Article PeerReviewed Eissa, Magdy Abdullah and Sali, Aduwati and Ahmad, Faisul Arif and Darwish, Rania R. (2021) Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation. IEEE Access, 9. pp. 83272-83284. ISSN 2169-3536 https://ieeexplore.ieee.org/document/9446059 10.1109/ACCESS.2021.3086040 |
| spellingShingle | Eissa, Magdy Abdullah Sali, Aduwati Ahmad, Faisul Arif Darwish, Rania R. Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation |
| title | Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation |
| title_full | Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation |
| title_fullStr | Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation |
| title_full_unstemmed | Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation |
| title_short | Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation |
| title_sort | observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation |
| url | http://psasir.upm.edu.my/id/eprint/94405/ http://psasir.upm.edu.my/id/eprint/94405/ http://psasir.upm.edu.my/id/eprint/94405/ |