This paper presents an adaptive sliding mode control (ANSMC) approach for tracking control of piezoelectric actuators (PEA). The proposed method utilizes a radial basis function neural network (RBFNN) to estimate the unknown PEA’s model under the influence of measurement noise. The stability of the closed-loop system is rigorously analyzed using Lyapunov theory, guaranteeing finite-time convergence. Simulation results prove that the proposed approach achieves high-precision motion and robustness against uncertainties and disturbances.


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    Titel :

    Adaptive Neural Sliding Mode Control for Motion Tracking of Piezoelectric Actuator


    Weitere Titelangaben:

    Mechan. Machine Science


    Beteiligte:
    Nguyen, Duc-Nam (Herausgeber:in) / Tran, Ngoc Dang Khoa (Herausgeber:in) / Huynh, Van Tuan (Herausgeber:in) / Ono, Takahito (Herausgeber:in) / Nguyen, Van Hieu (Herausgeber:in) / Pandey, Ashok Kumar (Herausgeber:in) / Hang, Nguyen Thi Thu (Autor:in) / Son, Nguyen Ngoc (Autor:in)

    Kongress:

    Conference on Microactuators and Micromechanisms ; 2024 ; Ho Chi Minh City, Vietnam November 09, 2024 - November 11, 2024



    Erscheinungsdatum :

    08.03.2025


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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