The effectiveness of the traditional Model Based Control (MBC) approach for the current control of the Permanent Magnet Synchronous Machine (PMSM) drives is limited by the need for accurate knowledge of the machine parameters. Considering this issue, the proposed research focuses on a Data-Based Control approach to achieve independence from the parametric mathematical model of the controlled system by focusing only on the measured data. By utilizing a new Dynamic Linearization (DL) technique with a novel notion called pseudo partial derivative (PPD), a Data-Based Model Free Control (DBMFC) scheme is presented in this paper for the current control of a PMSM. A simulation study is done to see the effectiveness of the presented control approach and its performance is compared with a Proportional Integral (PI) controller as a commonly used and well-established control method for the motor control applications.


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    Title :

    Data-Based Model-Free Current Control of a PMSM Using Full-Form Dynamical Linearization Technique


    Contributors:


    Publication date :

    2023-06-21


    Size :

    1153275 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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