This chapter presents an intelligent speed regulator based on fuzzy logic for direct torque control (DTC) applied to traction doubly fed induction motors in electric vehicles. The objective is to improve the tracking of the traction speed in different speed zones (low, medium, and high speeds) by replacing the classic PI speed controller with an adaptive controller based on fuzzy logic reasoning. The conventional DTC speed PI controller does not provide optimal performance when motor parameters vary. Therefore, the performance of the developed control scheme is demonstrated through simulation results using MATLAB/Simulink software. Furthermore, a comparative study of the proposed strategy with the classic DTC control is discussed and analyzed to highlight the improvements provided by the fuzzy adaptive controller.


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    Title :

    Fuzzy Logic Speed Controller for DTC of Doubly Fed Induction Traction Motor in Electric Vehicles


    Additional title:

    Energy Syst. Elect. Engineer.




    Publication date :

    2025-04-24


    Size :

    17 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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