2022
DOI: 10.1371/journal.pone.0263634
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Application of LSTM algorithm combined with Kalman filter and SOGI in phase-locked technology of aviation variable frequency power supply

Abstract: With the development of computer technology, the concept of computer automatic control has gradually penetrated the research field of aircraft power control, and intelligent power control systems have become mainstream research. The present work aims to improve the performance of the broadband phase-locked loop (PLL) based on the linear Kalman filter. Specifically, this paper first introduces linear Kalman filter and second-order generalized integrator (SOGI). Then, SOGI is added to PLL based on the linear Kal… Show more

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Cited by 4 publications
(3 citation statements)
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“…The third part of the algorithm is the time series data cleaning model. The model is composed of the Laida criterion and the improved long-short-term memory (LSTM) algorithm [13,14]. Using "check" and "fill", the model can correct abnormal detection and missing filling of large-span and large-capacity time series data.…”
Section: Algorithm Flowmentioning
confidence: 99%
“…The third part of the algorithm is the time series data cleaning model. The model is composed of the Laida criterion and the improved long-short-term memory (LSTM) algorithm [13,14]. Using "check" and "fill", the model can correct abnormal detection and missing filling of large-span and large-capacity time series data.…”
Section: Algorithm Flowmentioning
confidence: 99%
“…The classical Kalman filter algorithm is mainly aimed at linear system, while the classical Kalman filter algorithm cannot be used directly for the non-linear system of volleyball players' mental health training, so the extended Kalman filter algorithm needs to be used [ 15 , 16 ]. Based on classical Kalman filter, the extended Kalman filter transforms the non-linear state space equation of the system into a linear state space equation by using first-order Taylor expansion.…”
Section: Estimation Algorithm Of Artificial Intelligence Modelmentioning
confidence: 99%
“…The PLOS ONE Editors retract this article [ 1 ] because it was identified as one of a series of submissions for which we have concerns about peer review integrity and similarities across articles. These concerns call into question the validity and provenance of the reported results.…”
mentioning
confidence: 99%