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Virtual Signal Calculation Using Radial Neural Model Applied in a State Controller of a Two-Mass System

Author

Listed:
  • Radoslaw Stanislawski

    (Department of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-372 Wroclaw, Poland)

  • Jules-Raymond Tapamo

    (School of Engineering, University of KwaZulu-Natal, Durban 4041, South Africa)

  • Marcin Kaminski

    (Department of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-372 Wroclaw, Poland)

Abstract

Neural network approaches have commonly been used to solve complex mathematical equations in the literature. They have inspired the modifications of state controllers and are often implemented for electrical drives with an elastic connection. Given that the addition of a virtual signal can provide adaptive properties to classical controllers and that selected feedback signals can also be replaced with a virtual state variable from a neural network, several combinations can be considered and compared. In this paper, R adial B asis F unction neural-network-based control algorithms are proposed in which online updating of the output weights is used. Analyses of simulation experiment results reveal that the proposed control algorithms significantly improve the operation of classic-state feedback controllers applied to two-mass systems in the presence of parameter uncertainty.

Suggested Citation

  • Radoslaw Stanislawski & Jules-Raymond Tapamo & Marcin Kaminski, 2023. "Virtual Signal Calculation Using Radial Neural Model Applied in a State Controller of a Two-Mass System," Energies, MDPI, vol. 16(15), pages 1-23, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5629-:d:1203054
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    References listed on IDEAS

    as
    1. Radoslaw Stanislawski & Jules-Raymond Tapamo & Marcin Kaminski, 2022. "A Hybrid Adaptive Controller Applied for Oscillating System," Energies, MDPI, vol. 15(17), pages 1-22, August.
    2. Chen, Chuin-Shan & Noorizadegan, Amir & Young, D.L. & Chen, C.S., 2023. "On the selection of a better radial basis function and its shape parameter in interpolation problems," Applied Mathematics and Computation, Elsevier, vol. 442(C).
    3. Rafal Szczepanski & Marcin Kaminski & Tomasz Tarczewski, 2020. "Auto-Tuning Process of State Feedback Speed Controller Applied for Two-Mass System," Energies, MDPI, vol. 13(12), pages 1-16, June.
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    Cited by:

    1. Mateusz Malarczyk & Seiichiro Katsura & Marcin Kaminski & Krzysztof Szabat, 2024. "A Novel Meta-Heuristic Algorithm Based on Birch Succession in the Optimization of an Electric Drive with a Flexible Shaft," Energies, MDPI, vol. 17(16), pages 1-34, August.
    2. Piotr Derugo & Amanuel Haftu Kahsay & Krzysztof Szabat & Kosuke Shikata & Seiichiro Katsura, 2024. "A Novel PI-Based Control Structure with Additional Feedback from Torsional Torque and Its Derivative for Damping Torsional Vibrations," Energies, MDPI, vol. 17(19), pages 1-18, September.

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