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Finite Control Set Model Predictive Control for a Three-Phase Shunt Active Power Filter with a Kalman Filter-Based Estimation

Author

Listed:
  • Ramon Guzmán

    (Department of Automatic Control, Universitat Politècnica de Catalunya, 08800 Barcelona, Spain
    These authors contributed equally to this work.)

  • Luís García de Vicuña

    (Department of Electronic Engineering, Universitat Politècnica de Catalunya, 08800 Barcelona, Spain
    These authors contributed equally to this work.)

  • Miguel Castilla

    (Department of Electronic Engineering, Universitat Politècnica de Catalunya, 08800 Barcelona, Spain
    These authors contributed equally to this work.)

  • Jaume Miret

    (Department of Electronic Engineering, Universitat Politècnica de Catalunya, 08800 Barcelona, Spain
    These authors contributed equally to this work.)

  • Antonio Camacho

    (Department of Electronic Engineering, Universitat Politècnica de Catalunya, 08800 Barcelona, Spain
    These authors contributed equally to this work.)

Abstract

In this paper, the finite control set model predictive control is combined with the vector operation technique to be applied in the control of a three-phase active power filter. Typically, in the finite control set technique applied to three-phase power converters, eight different vectors are considered in order to obtain the optimum control signal by minimizing a cost function. On the other hand, the vector operation technique is based on dividing the grid voltage period into six different regions. The main advantage of combining both techniques is that for each region the number of possible voltage vectors to be considered can be reduced to a half, thus reducing the computational load employed by the control algorithm. Besides, in each region, only two phase-legs are switching at high frequency while the remaining phase-leg is maintained to a constant dc-voltage value during this interval. Accordingly, a reduction of the switching losses is obtained. Unlike the typical model predictive control methods which make use of the discrete differential equations of the converter, this method considers a Kalman filter in order to improve the behavior of the closed-loop system in noisy environments. Selected experimental results are exposed in order the demonstrate the validity of the control proposal.

Suggested Citation

  • Ramon Guzmán & Luís García de Vicuña & Miguel Castilla & Jaume Miret & Antonio Camacho, 2017. "Finite Control Set Model Predictive Control for a Three-Phase Shunt Active Power Filter with a Kalman Filter-Based Estimation," Energies, MDPI, vol. 10(10), pages 1-14, October.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1553-:d:114450
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    References listed on IDEAS

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    1. Suleiman Musa & Mohd Amran Mohd Radzi & Hashim Hizam & Noor Izzri Abdul Wahab & Yap Hoon & Muhammad Ammirrul Atiqi Mohd Zainuri, 2017. "Modified Synchronous Reference Frame Based Shunt Active Power Filter with Fuzzy Logic Control Pulse Width Modulation Inverter," Energies, MDPI, vol. 10(6), pages 1-17, May.
    2. Tien Hai Nguyen & Kyeong-Hwa Kim, 2017. "Finite Control Set–Model Predictive Control with Modulation to Mitigate Harmonic Component in Output Current for a Grid-Connected Inverter under Distorted Grid Conditions," Energies, MDPI, vol. 10(7), pages 1-25, July.
    3. Jiefeng Hu & Ka Wai Eric Cheng, 2017. "Predictive Control of Power Electronics Converters in Renewable Energy Systems," Energies, MDPI, vol. 10(4), pages 1-14, April.
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    Cited by:

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    2. Cheng-Kai Lin & Jen-te Yu & Hao-Qun Huang & Jyun-Ting Wang & Hsing-Cheng Yu & Yen-Shin Lai, 2018. "A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems," Energies, MDPI, vol. 11(7), pages 1-29, July.

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