Measurement of synchronous machine parameters using Kalman filter based fuzzy logic estimator
This paper presents a new Kalman filter/fuzzy logic approach for estimating synchronous machine parameters from short circuit tests. The technique uses on-line noisy measurements of the short circuit current for estimating direct axis reactances, and time constant synchronous machine parameters. The...
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| Published in | Measurement : journal of the International Measurement Confederation Vol. 43; no. 10; pp. 1327 - 1335 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.12.2010
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| Abstract | This paper presents a new Kalman filter/fuzzy logic approach for estimating synchronous machine parameters from short circuit tests. The technique uses on-line noisy measurements of the short circuit current for estimating direct axis reactances, and time constant synchronous machine parameters. The approach is based on expressing short circuit current as a discrete time linear dynamic system model suitable for the Kalman filter to estimate the parameters. Fuzzy rule-based logic is used to tune-up measurement noise levels by adjusting the covariance matrix. The results show a better convergence using fuzzy logic than those solely using the Kalman filter. |
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| AbstractList | This paper presents a new Kalman filter/fuzzy logic approach for estimating synchronous machine parameters from short circuit tests. The technique uses on-line noisy measurements of the short circuit current for estimating direct axis reactances, and time constant synchronous machine parameters. The approach is based on expressing short circuit current as a discrete time linear dynamic system model suitable for the Kalman filter to estimate the parameters. Fuzzy rule-based logic is used to tune-up measurement noise levels by adjusting the covariance matrix. The results show a better convergence using fuzzy logic than those solely using the Kalman filter. |
| Author | Al-Hamadi, H.M. EL-Naggar, K.M. |
| Author_xml | – sequence: 1 givenname: H.M. surname: Al-Hamadi fullname: Al-Hamadi, H.M. email: helal3113@hotmail.com organization: Information Science Department, CFW, Kuwait University, Odyliyah Campus, PO Box 5969, Safat 13060, Kuwait – sequence: 2 givenname: K.M. surname: EL-Naggar fullname: EL-Naggar, K.M. email: knaggar@ieee.orgm organization: Electrical Engineering Department, College of Technological Studies, PO Box 42325, Shuwaikh 70654, Kuwait |
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| CitedBy_id | crossref_primary_10_1016_j_measurement_2013_07_016 crossref_primary_10_1016_j_measurement_2012_01_014 crossref_primary_10_1016_j_measurement_2013_02_010 crossref_primary_10_1109_ACCESS_2022_3146732 crossref_primary_10_1007_s40313_021_00804_y crossref_primary_10_1016_j_measurement_2011_03_026 crossref_primary_10_1088_1742_6596_2480_1_012019 crossref_primary_10_1109_ACCESS_2020_2997987 crossref_primary_10_1049_iet_smt_2014_0022 crossref_primary_10_1016_j_measurement_2021_109890 crossref_primary_10_1063_1_4959561 |
| Cites_doi | 10.1109/TEC.2003.822296 10.1109/60.911403 10.1109/59.331449 10.5019/j.ijcir.2008.139 10.1109/T-PAS.1977.32312 10.1109/60.464859 10.1109/TEC.2005.847951 10.1049/ip-gtd:20040275 10.1002/1099-114X(200008)24:10<877::AID-ER630>3.0.CO;2-8 10.1016/j.epsr.2003.07.004 10.1109/TPAS.1983.317876 |
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| Keywords | Fuzzy logic Short circuit test Estimation Kalman filter Synchronous machine parameters |
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| SubjectTerms | Dynamical systems Dynamics Estimating Estimation Fuzzy logic Kalman filter Kalman filters Mathematical models Short circuit currents Short circuit test Synchronous machine parameters Synchronous machines |
| Title | Measurement of synchronous machine parameters using Kalman filter based fuzzy logic estimator |
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