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  • Model-Free Predictive H∞ Control for Grid-Connected Solar Power Generation Systems

    Author(s)
    Chen, Jianmin
    Yang, Fuwen
    Han, Qing-Long
    Griffith University Author(s)
    Yang, Fuwen
    Year published
    2014
    Metadata
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    Abstract
    A novel model-free predictive mixed-sensitivity H∞ control scheme is proposed and applied to grid-connected solar power generation systems. The predictive sensitivity and the predictive complementary sensitivity are defined based on the predictive model. The model-free predictive mixed-sensitivity H∞ controller is derived from input/output measurements to achieve an optimal predictive mixed-sensitivity performance using a maxmin optimization method. Then, a simulation system for solar power generation systems is established using SimPowerSystems. Finally, the simulations are conduced to show the effectiveness of the proposed ...
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    A novel model-free predictive mixed-sensitivity H∞ control scheme is proposed and applied to grid-connected solar power generation systems. The predictive sensitivity and the predictive complementary sensitivity are defined based on the predictive model. The model-free predictive mixed-sensitivity H∞ controller is derived from input/output measurements to achieve an optimal predictive mixed-sensitivity performance using a maxmin optimization method. Then, a simulation system for solar power generation systems is established using SimPowerSystems. Finally, the simulations are conduced to show the effectiveness of the proposed model-free controller, which outperforms the conventional proportional-integral and model-free linear quadratic Gaussian controllers in the tracking performance and the robustness of solar power generation systems.
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    Journal Title
    IEEE Transactions on Control Systems Technology
    Volume
    22
    Issue
    5
    DOI
    https://doi.org/10.1109/TCST.2013.2292879
    Subject
    Applied mathematics
    Publication URI
    http://hdl.handle.net/10072/173036
    Collection
    • Journal articles

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