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Application of LSTM algorithm combined with Kalman filter and SOGI in phase-locked technology of aviation variable frequency power supply

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  • Bo Zeng
  • Yuxiang Sun
  • Shaojun Xie

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 Kalman filter. The purpose is to use the infinite gain effect of SOGI at the central angular frequency to eliminate the time-varying angular frequency component in the error when the system inputs SOGI to achieve a better filtering effect. Then, the system’s stability analysis and parameter settings are carried out to establish an intelligent phase-locked method of aviation variable frequency power supply. Finally, simulation experiments are performed. The experimental results demonstrate that PLL via the linear Kalman filter with SOGI can solve the problem that the output phase angle contains high-frequency components when the power supply voltage distortion rate is 10%. This scheme has a strong anti-interference ability under power grid voltage imbalance. The accuracy of the Long and Short-term Memory network used here is about 80%, which can well realize the intelligent aviation power frequency conversion control method. The research reported here provides a reference for establishing smart phase-locked technology of aviation variable frequency power supply.

Suggested Citation

  • Bo Zeng & Yuxiang Sun & Shaojun Xie, 2022. "Application of LSTM algorithm combined with Kalman filter and SOGI in phase-locked technology of aviation variable frequency power supply," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-16, April.
  • Handle: RePEc:plo:pone00:0263634
    DOI: 10.1371/journal.pone.0263634
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    Cited by:

    1. Pengfei Wang & Yang Liu & Qinqin Sun & Yingqi Bai & Chaopeng Li, 2022. "Research on Data Cleaning Algorithm Based on Multi Type Construction Waste," Sustainability, MDPI, vol. 14(19), pages 1-16, September.

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