Effective Model Predictive Voltage Control for a Sensorless Doubly Fed Induction Generator

Modèle efficace de contrôle d’une tension prédictive pour un générateur à induction avec double alimentation sans capteur
Mossa M.A. Do T.D. Al-Sumaiti A.S. Quynh N.V. Zaki Diab A.A.
2021 IEEE Canada

IEEE Canadian Journal of Electrical and Computer Engineering
2021 #44 Issue 1 50 - 64 pp.

This article presents a novel model predictive voltage control (MP VC) for a doubly fed induction generator (DFIG) without a speed sensor. The methodology of the considered MP VC is articulated on the direct voltage control by incorporating the deadbeat control principle within the model predictive topology. The derivation of the utilized cost function is accomplished in organized steps. The finite control set (FCS) principle is adopted to avoid the utilization of the pulsewidth modulation (PWM), which contributes to simplifying the system configuration. For estimating the rotor position, a robust estimator is proposed to achieve precise tracking of the rotor alignment, and thus, a perfect co-ordinates transformation can be achieved. To visualize the significance of the intended MP VC in regard to the classic model predictive techniques, accurate analysis of the DFIG dynamics under the proposed MP VC and model predictive direct torque control (MP DTC) is presented. The test results approve and reveal the predomination of the presented MP VC over the MP DTC. Furthermore, the effectiveness of the proposed sensorless scheme is verified for different ranges of speed operation.

Deadbeat control , doubly fed induction generator (DFIG) , finite control set (FCS) , sensorless operation , torque control , voltage control

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The Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, 61111, Egypt
The Department of Robotics and Mechatronics, School of Engineering and Digital Sciences (SEDS), Nazarbayev University, Nur-Sultan, Z05H0P9, Kazakhstan
The Advanced Power and Energy Center, Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates
The Electrical and Electronics Department, Lac Hong University, Dong Nai, 810000, Viet Nam

The Electrical Engineering Department
The Department of Robotics and Mechatronics
The Advanced Power and Energy Center
The Electrical and Electronics Department

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