Takagi�Sugeno Fuzzy Logic Controller for DFIG Operating in the Stand-Alone Mode: Simulations and Experimental Investigation

• Main Authors: Chabani M.S., Benchouia M.T., Golea A., Benmouna A., Iqbal M., Becherif M., Golea N.
• Other Authors: 57201975132
• Format: Article
• Published: Institute for Ionics 2024
• Subjects: Doubly fed induction generator; Frequency and voltage control; Fuzzy logic controller; PI controller; Takagi�Sugeno
• Institution: Universiti Tenaga Nasional

In this paper, an enhanced control scheme for doubly fed induction generators (DFIGs) operating in the standalone mode is proposed and experimentally validated. The intended aim is to regulate the amplitude and frequency of DFIG stator voltage profile, subjected to variations in the electrical load and rotor speed. For that, the excitation of DFIG is manipulated via rotor side converter (RSC), typically known as field-oriented control strategy fed by a hysteresis current controller. To reach the projected aim, a fuzzy logic controller (FLC) is implemented and systematically investigated. Compared to its counterpart Mamdani type, the fuzzy inference system (FIS) is based on Takagi�Sugeno (T�S) method, which is justified by comparatively lower computational burden and enhanced practical implementation. The advantages of the proposed T�S based FLC are highlighted by conducting a comprehensive comparison with the conventional PI controller and Mamdani type FLC. Both the simulations study and experimental verification are conducted under diverse scenarios: (i) a wide range of rotor speed, (ii) sudden variations in the electrical load, and (iii) step changes in the desired stator voltage profile. The simulation study and experimental analysis are, respectively, conducted via MATLAB/Simulink platform and dSPACE DS1104 platform. The results depict superior performance of proposed T�S type FLC scheme, when compared with the conventional PI controller. Moreover, based on experimental findings, the proposed scheme leverages 0.26�ms reduction in the computational time (vs Mamdani FLC), facilitating a superior practical implementation. � 2023, King Fahd University of Petroleum & Minerals.