Effective Model Predictive Voltage Control for a Sensorless Doubly Fed Induction Generator
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...
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Published in | Canadian journal of electrical and computer engineering Vol. 44; no. 1; pp. 50 - 64 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Montreal
IEEE
2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 2694-1783 0840-8688 2694-1783 |
DOI: | 10.1109/ICJECE.2020.3018495 |