An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection
It is difficult to detect harmonic current accurately when APF in low SNR condition. In order to improve the accuracy and tracking speed of harmonic current detection, an improved variable step-size LMS (least mean square ) algorithm was proposed based on LMS algorithm. Based on the characteristic t...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2017-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
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| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2017.03.009 |
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| _version_ | 1849224865761984512 |
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| author | ZHANG Han |
| author_facet | ZHANG Han |
| author_sort | ZHANG Han |
| collection | DOAJ |
| description | It is difficult to detect harmonic current accurately when APF in low SNR condition. In order to improve the accuracy and tracking speed of harmonic current detection, an improved variable step-size LMS (least mean square ) algorithm was proposed based on LMS algorithm. Based on the characteristic that mean value of steady state harmonics is zero, the system error at a certain moment is replaced by the forgetting weight sum of historical error to control the step size dynamically. Dynamic control of parameter change is realized by the generic Sigmoid function between step size factor and system error. The dynamic of Sigmoid parameters ensures that the improved adaptive algorithm has the faster convergence speed, higher precision and dynamic tracking effect. Simulation results show the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-3fcd32e54a334a96ab30770e46beee41 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-3fcd32e54a334a96ab30770e46beee412025-08-25T06:50:20ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272017-01-0134505382319939An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic DetectionZHANG HanIt is difficult to detect harmonic current accurately when APF in low SNR condition. In order to improve the accuracy and tracking speed of harmonic current detection, an improved variable step-size LMS (least mean square ) algorithm was proposed based on LMS algorithm. Based on the characteristic that mean value of steady state harmonics is zero, the system error at a certain moment is replaced by the forgetting weight sum of historical error to control the step size dynamically. Dynamic control of parameter change is realized by the generic Sigmoid function between step size factor and system error. The dynamic of Sigmoid parameters ensures that the improved adaptive algorithm has the faster convergence speed, higher precision and dynamic tracking effect. Simulation results show the effectiveness of the proposed method.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2017.03.009active power filterharmonic detectionvariable step-sizeadaptive filter algorithmgeneric Sigmoid function |
| spellingShingle | ZHANG Han An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection Kongzhi Yu Xinxi Jishu active power filter harmonic detection variable step-size adaptive filter algorithm generic Sigmoid function |
| title | An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection |
| title_full | An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection |
| title_fullStr | An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection |
| title_full_unstemmed | An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection |
| title_short | An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection |
| title_sort | improved adaptive variable step size lms algorithm for harmonic detection |
| topic | active power filter harmonic detection variable step-size adaptive filter algorithm generic Sigmoid function |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2017.03.009 |
| work_keys_str_mv | AT zhanghan animprovedadaptivevariablestepsizelmsalgorithmforharmonicdetection AT zhanghan improvedadaptivevariablestepsizelmsalgorithmforharmonicdetection |