This chapter designs a Robust Fractional Model Predictive Controller (R-FMPC) to control the DC motor’s speed. The proposed controller is developed in two stages. First, the DC motor’s fractional-order model is derived by adopting the fractional definitions such as Oustaloup and fractional Laplacian. The exponent value in the developed DC motors fractional model is chosen by comparing the performances with various orders/values. Then, the model predictive controller is designed by utilizing the developed DC motors’ fractional model. Further, by varying the system dynamics, the robustness of the developed fractional-order model is also verified. Finally, a simulation study is carried out for evaluating the performance of fractional model predictive controller (FMPC) and R-FMPC for the DC motor control system.


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    Title :

    Design of Robust Model Predictive Controller for DC Motor Using Fractional Calculus


    Additional title:

    stud. in Infrastructure & Control


    Contributors:


    Publication date :

    2022-09-11


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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