A Comparative Study of FLL and PLL in Boost PFC Converter Control for Smart Greenhouse Farming Application

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Abstract

LED lights have become very popular recently for smart farming applications, where they provide artificial light as the substitute for sunlight in a greenhouse or indoor farming environment. To ensure a low total operational cost and improve the efficiency of farming in those environments, it is imperative that the overall LED lighting system is energy efficient. LED is a dc system, whereas the grid is an ac system. As such, an LED driver is needed to perform the necessary voltage conversion. The boost power factor correction (PFC) converter is a popular LED driver that provides output voltage regulation and power factor correction at the same time. As the LED driver is grid-connected, its control system requires real-time estimation of the grid voltage parameter information for reference current generation. In this study, a comparison between frequency-and phase-locked loops as the grid detection method inside the converter control system is provided. For the phase-locked loop (PLL), a single-phase quasi-type-1 structure is considered. It is then compared with the conventional second-order generalised integrator (SOGI)frequency-locked loop (FLL). Comprehensive numerical studies are performed to evaluate the performance of FLL and PLL in challenging grid voltage cases. Results show that the source current has a lower total harmonic distortion when PLL is used as the synchronisation tool over the FLL counterpart. This can be attributed to the use of moving average filter in the PLL, which provides additional harmonic robustness compared to FLL. Lower distortion by the PLL method will the make LED driver, consequently smart farming more energy efficient.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Agrosystem Engineering, Technology and Applications, AGRETA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages62-67
Number of pages6
ISBN (Electronic)9798350347333
ISBN (Print)9798350347340
DOIs
Publication statusE-pub ahead of print - 28 Sept 2023
Event2023 IEEE International Conference on Agrosystem Engineering, Technology and Applications, AGRETA 2023 - Hybrid, Shah Alam, Malaysia
Duration: 9 Sept 20239 Sept 2023

Conference

Conference2023 IEEE International Conference on Agrosystem Engineering, Technology and Applications, AGRETA 2023
Country/TerritoryMalaysia
CityHybrid, Shah Alam
Period9/09/239/09/23

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Keywords

  • Boost Converter
  • Frequency-Locked Loop
  • Phase-Locked Loop
  • Power Factor Correction

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Aquatic Science
  • Food Science
  • Information Systems
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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