{"title":"Robust adaptive filtering approach for envelope and harmonic estimation","authors":"H. K. Sahoo, N. P. Rath","doi":"10.1109/ICEAS.2011.6147141","DOIUrl":null,"url":null,"abstract":"The present study proposes a novel method of tracking the harmonic amplitudes and the envelope of distorted power system signals using robust H∞ Filter. The performance of H∞ Filter has been compared with those of EKF considering signals, which can represent worst case measurement and network conditions in a typical power system. State Space Representation is used to estimate the amplitudes of harmonics of different order as well as modulated signal envelope in presence of AWGN. Results of simulation demonstrate that under identical conditions, the performance of H∞ Filter is better compared to Extended Kalman Filter (EKF).","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Energy, Automation and Signal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEAS.2011.6147141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The present study proposes a novel method of tracking the harmonic amplitudes and the envelope of distorted power system signals using robust H∞ Filter. The performance of H∞ Filter has been compared with those of EKF considering signals, which can represent worst case measurement and network conditions in a typical power system. State Space Representation is used to estimate the amplitudes of harmonics of different order as well as modulated signal envelope in presence of AWGN. Results of simulation demonstrate that under identical conditions, the performance of H∞ Filter is better compared to Extended Kalman Filter (EKF).