Various industrial applications need new control techniques to get quick response and to improve the dynamic performances. Sliding mode, fuzzy logic and fuzzy sliding mode control are characterized by insensitivity and robustness to the parameters variation. This Modeling and Simulation of Speed of a Doubly Fed Induction Motor paper represents a study of a direct stator flux and induction motor with three regulators sliding mode, fuzzy logic, and fuzzy sliding mode.
These regulators are applied for regulation of speed of doubly fed induction motor (DFIM). The robustness between three regulators was validated and tested with the presence of the parameters of the motor. The three regulators are robust against external perturbations and the fuzzy sliding mode controller has best performance than the fuzzy logic and sliding mode controllers.
The doubly fed induction machine (DFIM) is for variable-speed applications like electric vehicles and electrical energy production and variable-speed domain and performance depends on the application. The DFIM provides the opportunity modulation of power flow into and out the rotor winding.
The DFIM has distinct advantages compared to the conventional squirrel-cage machine. The DFIM is fed and controlled stator or rotor with many possible combinations. The input-commands are obtained by four degrees of control freedom relatively to the squirrel cage induction machine and its control appears simpler. The flux orientation strategy transforms the non linear and coupled DFIM mathematical model to a linear model conducting, attractive solution, and generating or motoring operations.
The entire performance of field-oriented-controlled induction motor drive systems is directly related to the performance of current control. Hence decoupling the control scheme is needed by the coupling effect between q-axis and d-axis current dynamics.
In this document, the speed regulation of DFIM with different controllers, fuzzy logic, sliding mode and fuzzy sliding mode are designed and simulated. The FSMC controller enhances the performances of the DFIM control.
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