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IMPROVING THE EFFICIENCY OF DIRECT FLUX AND TORQUE CONTROL TECHNOLOGY FOR DOUBLY-FED INDUCTION GENERATOR WITH A ROBUST CONTROL USING MODIFIED SUPER-TWISTING ALGORITHMS

https://doi.org/10.21821/2309-5180-2021-13-4-586-603

Abstract

A robust direct flux and torque control (DFTC) technique of a doubly-fed induction generator (DFIG) for wind turbine applications (WTA) is presented in the paper. The main advantages of traditional DFTC control method are its simple structure, robust technique and good dynamic response compared to the field-oriented control (FOC). The use of a classical hysteresis comparator and a predefined lookup table will inevitably lead to select a non-optimal rotor voltage vector in terms of reducing rotor flux errors, harmonic distortion (THD) current, and electro-magnetic torque undulations. In this research work, a new approach of DFTC technique of DFIG based modified super-twisting algorithms (MSTA) and modified space vector modulation (MSVM) is developed by replacing the traditional lookup table and two hysteresis comparators. Theoretical principles of this method are presented along with simulation results. Analysis of DFTC-MSVM control scheme based MSTA controllers have been done in MATLAB/ Simulink environment. The machine (DFIG 1,5MW) is tested in association with a wind turbine. Simulation results are presented. The proposed DFTC control technique takes full advantage and the electromagnetic torque regulation objective of DFIG is confirmed by the numerical simulation results compared to the traditional DFTC control technique.

About the Authors

A. N. Almakki
Kazan National Research Technical Universitynamed after A. N. Tupolev - KAI
Russian Federation


A. A. Mazalov
Kazan National Research Technical University named after A. N. Tupolev-KAI; Southern Federal University
Russian Federation


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For citations:


Almakki A.N., Mazalov A.A. IMPROVING THE EFFICIENCY OF DIRECT FLUX AND TORQUE CONTROL TECHNOLOGY FOR DOUBLY-FED INDUCTION GENERATOR WITH A ROBUST CONTROL USING MODIFIED SUPER-TWISTING ALGORITHMS. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova. 2021;13(4):586-603. (In Russ.) https://doi.org/10.21821/2309-5180-2021-13-4-586-603

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