Integration of dual intelligent algorithms in shunt active power filter
This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SA...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/69008/ http://psasir.upm.edu.my/id/eprint/69008/1/Integration%20of%20dual%20intelligent%20algorithms%20in%20shunt%20active%20power%20filter.pdf |
| _version_ | 1848856288109264896 |
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| author | Abdul Rahman, Nor Farahaida Mohd Radzi, Mohd Amran Mariun, Norman Che Soh, Azura Abd Rahim, Nasrudin |
| author_facet | Abdul Rahman, Nor Farahaida Mohd Radzi, Mohd Amran Mariun, Norman Che Soh, Azura Abd Rahim, Nasrudin |
| author_sort | Abdul Rahman, Nor Farahaida |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SAPF). The ANN and fuzzy logic are trained using the modified Widrow-Hoff (W-H) weight updating algorithm and fuzzy rules respectively. The controller has utilized both algorithms for producing its reference signals and consequently mitigating distorted source currents, improving system power factor (PF) and regulating the DC-link voltage. A 10kHz pulse-width modulation (PWM) switching algorithm is employed to generate the switching signals and therefore the distorted source currents are reshaped to be sinusoidal source current with low total harmonic distortion (THD) value and in phase with source voltages. The effectiveness of the proposed dual intelligent algorithms is verified using Matlab/Simulink. |
| first_indexed | 2025-11-15T11:39:16Z |
| format | Conference or Workshop Item |
| id | upm-69008 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:39:16Z |
| publishDate | 2013 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-690082019-06-12T02:09:30Z http://psasir.upm.edu.my/id/eprint/69008/ Integration of dual intelligent algorithms in shunt active power filter Abdul Rahman, Nor Farahaida Mohd Radzi, Mohd Amran Mariun, Norman Che Soh, Azura Abd Rahim, Nasrudin This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SAPF). The ANN and fuzzy logic are trained using the modified Widrow-Hoff (W-H) weight updating algorithm and fuzzy rules respectively. The controller has utilized both algorithms for producing its reference signals and consequently mitigating distorted source currents, improving system power factor (PF) and regulating the DC-link voltage. A 10kHz pulse-width modulation (PWM) switching algorithm is employed to generate the switching signals and therefore the distorted source currents are reshaped to be sinusoidal source current with low total harmonic distortion (THD) value and in phase with source voltages. The effectiveness of the proposed dual intelligent algorithms is verified using Matlab/Simulink. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69008/1/Integration%20of%20dual%20intelligent%20algorithms%20in%20shunt%20active%20power%20filter.pdf Abdul Rahman, Nor Farahaida and Mohd Radzi, Mohd Amran and Mariun, Norman and Che Soh, Azura and Abd Rahim, Nasrudin (2013) Integration of dual intelligent algorithms in shunt active power filter. In: 2013 IEEE Conference on Clean Energy and Technology (CEAT), 18-20 Nov. 2013, Langkawi, Kedah, Malaysia. (pp. 259-264). 10.1109/CEAT.2013.6775637 |
| spellingShingle | Abdul Rahman, Nor Farahaida Mohd Radzi, Mohd Amran Mariun, Norman Che Soh, Azura Abd Rahim, Nasrudin Integration of dual intelligent algorithms in shunt active power filter |
| title | Integration of dual intelligent algorithms in shunt active power filter |
| title_full | Integration of dual intelligent algorithms in shunt active power filter |
| title_fullStr | Integration of dual intelligent algorithms in shunt active power filter |
| title_full_unstemmed | Integration of dual intelligent algorithms in shunt active power filter |
| title_short | Integration of dual intelligent algorithms in shunt active power filter |
| title_sort | integration of dual intelligent algorithms in shunt active power filter |
| url | http://psasir.upm.edu.my/id/eprint/69008/ http://psasir.upm.edu.my/id/eprint/69008/ http://psasir.upm.edu.my/id/eprint/69008/1/Integration%20of%20dual%20intelligent%20algorithms%20in%20shunt%20active%20power%20filter.pdf |