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New Intelligent Control Strategy Hybrid Grey–RCMAC Algorithm for Ocean Wave Power Generation Systems

Author

Listed:
  • Kai-Hung Lu

    (School of Electronic and Electrical Engineering, Minnan University of Science and Technology, Quanzhou 362700, China
    Fujian Key Laboratory of Industrial Automation Control Technology and Information Processing, Fuzhou 362700, China)

  • Chih-Ming Hong

    (Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Zhigang Han

    (School of Electronic and Electrical Engineering, Minnan University of Science and Technology, Quanzhou 362700, China
    Fujian Key Laboratory of Industrial Automation Control Technology and Information Processing, Fuzhou 362700, China)

  • Lei Yu

    (School of Electronic and Electrical Engineering, Minnan University of Science and Technology, Quanzhou 362700, China
    Fujian Key Laboratory of Industrial Automation Control Technology and Information Processing, Fuzhou 362700, China)

Abstract

In this article, the characteristics of the wave energy converter are considered and a novel dynamic controller (NDC) for a permanent magnet synchronous generator (PMSG) is proposed for Wells turbine applications. The proposed NDC includes a recursive cerebellum model articulation controller (RCMAC) with a grey predictor and innovative particle swarm optimization (IPSO). IPSO is developed to adjust the learning speed and improve learning capability. Based on the supervised learning method, online adjustment law of RCMAC parameters is derived to ensure the system’s stability. The NDC scheme is designed to maintain a supply–demand balance between intermittent power generation and grid power supply. The proposed NDC exhibits an improved power regulation and dynamic performance of the wave energy system under various operation conditions. Furthermore, better results are obtained when the RCMAC is used with the grey predictive model method.

Suggested Citation

  • Kai-Hung Lu & Chih-Ming Hong & Zhigang Han & Lei Yu, 2020. "New Intelligent Control Strategy Hybrid Grey–RCMAC Algorithm for Ocean Wave Power Generation Systems," Energies, MDPI, vol. 13(1), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:1:p:241-:d:304853
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    Citations

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    Cited by:

    1. Kai-Hung Lu & Chih-Ming Hong & Xiaojing Tan & Fu-Sheng Cheng, 2021. "Novel Intelligent Control Technology for Enhanced Stability Performance of an Ocean Wave Energy Conversion System," Energies, MDPI, vol. 14(7), pages 1-15, April.
    2. Zhaozhi Wang & Shemeng Wu & Kai-Hung Lu, 2022. "Improvement of Stability in an Oscillating Water Column Wave Energy Using an Adaptive Intelligent Controller," Energies, MDPI, vol. 16(1), pages 1-15, December.
    3. Cristian Napole & Oscar Barambones & Mohamed Derbeli & José Antonio Cortajarena & Isidro Calvo & Patxi Alkorta & Pablo Fernandez Bustamante, 2021. "Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System," Energies, MDPI, vol. 14(12), pages 1-19, June.

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