Power Control in an On-Board Photovoltaic Converter Using Disturbance Trend Prediction.

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Title: Power Control in an On-Board Photovoltaic Converter Using Disturbance Trend Prediction.
Authors: Binkowski, Tomasz1 (AUTHOR) tbinkow@prz.edu.pl, Szcześniak, Paweł2 (AUTHOR), Powroźnik, Piotr2,3 (AUTHOR), Pijarski, Paweł3,4 (AUTHOR), Gacio, David1,4 (AUTHOR)
Source: Energies (19961073). Jun2026, Vol. 19 Issue 11, p2589. 22p.
Subject Terms: *Phase-locked loops, *Reactive power control, *Synchronization, *Electric networks, *Field programmable gate arrays, *Signal frequency estimation, *Solar energy conversion
Abstract: The paper presents a fast adaptive power control with implicit predictive behavior for an on-board power converter operating in support of a 400 Hz aircraft electrical network. Accurate control of active and reactive power in such high-frequency networks requires precise estimation of the network voltage phase, frequency, and amplitude. Therefore, a proposed adaptive phase-locked loop (PLL) algorithm is integrated with a proportional resonant current controller (PR). The adaptive PLL continuously estimates the instantaneous phase, frequency, and amplitude of the fundamental voltage component, enabling fast synchronization and dynamic adjustment of the PR controller resonant frequency. Consequently, the combination familiarises anticipatory response characteristics with the control loop without the need for computationally intensive model predictive control algorithms. The simulation results demonstrate that the proposed method significantly reduces the synchronization time, maintains high accuracy under frequency variations and harmonic distortion, and exhibits robustness against measurement noise. Furthermore, the modular and computationally efficient structure of the algorithm makes it suitable for real-time implementation of FPGA. The proposed approach provides an effective solution for high-performance power management in aircraft electrical systems, ensuring precise power control under hard dynamic conditions. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194587977
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Power Control in an On-Board Photovoltaic Converter Using Disturbance Trend Prediction.
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  Data: <searchLink fieldCode="AR" term="%22Binkowski%2C+Tomasz%22">Binkowski, Tomasz</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tbinkow@prz.edu.pl</i><br /><searchLink fieldCode="AR" term="%22Szcześniak%2C+Paweł%22">Szcześniak, Paweł</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Powroźnik%2C+Piotr%22">Powroźnik, Piotr</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pijarski%2C+Paweł%22">Pijarski, Paweł</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gacio%2C+David%22">Gacio, David</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)
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  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 11, p2589. 22p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Phase-locked+loops%22">Phase-locked loops</searchLink><br />*<searchLink fieldCode="DE" term="%22Reactive+power+control%22">Reactive power control</searchLink><br />*<searchLink fieldCode="DE" term="%22Synchronization%22">Synchronization</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+networks%22">Electric networks</searchLink><br />*<searchLink fieldCode="DE" term="%22Field+programmable+gate+arrays%22">Field programmable gate arrays</searchLink><br />*<searchLink fieldCode="DE" term="%22Signal+frequency+estimation%22">Signal frequency estimation</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+energy+conversion%22">Solar energy conversion</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The paper presents a fast adaptive power control with implicit predictive behavior for an on-board power converter operating in support of a 400 Hz aircraft electrical network. Accurate control of active and reactive power in such high-frequency networks requires precise estimation of the network voltage phase, frequency, and amplitude. Therefore, a proposed adaptive phase-locked loop (PLL) algorithm is integrated with a proportional resonant current controller (PR). The adaptive PLL continuously estimates the instantaneous phase, frequency, and amplitude of the fundamental voltage component, enabling fast synchronization and dynamic adjustment of the PR controller resonant frequency. Consequently, the combination familiarises anticipatory response characteristics with the control loop without the need for computationally intensive model predictive control algorithms. The simulation results demonstrate that the proposed method significantly reduces the synchronization time, maintains high accuracy under frequency variations and harmonic distortion, and exhibits robustness against measurement noise. Furthermore, the modular and computationally efficient structure of the algorithm makes it suitable for real-time implementation of FPGA. The proposed approach provides an effective solution for high-performance power management in aircraft electrical systems, ensuring precise power control under hard dynamic conditions. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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        Value: 10.3390/en19112589
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 2589
    Subjects:
      – SubjectFull: Phase-locked loops
        Type: general
      – SubjectFull: Reactive power control
        Type: general
      – SubjectFull: Synchronization
        Type: general
      – SubjectFull: Electric networks
        Type: general
      – SubjectFull: Field programmable gate arrays
        Type: general
      – SubjectFull: Signal frequency estimation
        Type: general
      – SubjectFull: Solar energy conversion
        Type: general
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      – TitleFull: Power Control in an On-Board Photovoltaic Converter Using Disturbance Trend Prediction.
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            NameFull: Binkowski, Tomasz
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            NameFull: Szcześniak, Paweł
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            NameFull: Powroźnik, Piotr
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            NameFull: Pijarski, Paweł
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            NameFull: Gacio, David
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 19961073
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              Value: 19
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              Value: 11
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            – TitleFull: Energies (19961073)
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