A review of methods for adaptive neural network control of actuators based on a stepper motor is presented. A model of a universal mechatronic module with a stepper motor is defined. The investigated field-oriented classical proportional-integral-derivative, neural network radial basis, and neural network sigmoidal adaptive motor control algorithms are described. The results of modeling the digital control system for the universal mechatronic module at nominal parameters and under the influence of parametric and functional uncertainties are demonstrated.


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    Title :

    Adaptive Neural Network Control of Space-Mission Universal Mechatronic Module


    Additional title:

    Russ. Aeronaut.


    Contributors:

    Published in:

    Russian Aeronautics ; 66 , 3 ; 458-468


    Publication date :

    2023-08-01


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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