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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    Title :

    Adaptive Neural Sliding Mode Control for Motion Tracking of Piezoelectric Actuator


    Additional title:

    Mechan. Machine Science



    Conference:

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



    Publication date :

    2025-03-08


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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