2023
DOI: 10.1109/access.2023.3281459
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Study on Single-Loop FCS-MPC for DC-Based DFIG System

Abstract: Doubly fed induction generator (DFIG) system suffers from complex control structure, slow dynamic response speed and cumbersome parameter design due to its traditional cascaded dual-loop control strategy. A single-loop finite control set model predictive control (SLMPC) is proposed in the paper for DC-based DFIG in DC grid, which simplifies its control structure and parameter design, and enhances system dynamic response. There are three improved aspects. First, the single-loop control structure is proposed to … Show more

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Cited by 2 publications
(1 citation statement)
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“…The modeling and control strategy of AC-based DFIG cannot be directly applied to double-VSC DFIG systems, relevant research on double-VSC DFIG has thus been extensively conducted. The traditional linear control strategy used to realize the stator-rotor coordinated MPPT control, for ex- ample, air-gap flux orientation control [7], stator flux orientation control [8], model predictive control [9], single-loop finite control set model predictive control [10], single-loop feedback linearization control [11]. However, the conventional linear control strategy exhibits certain inherent limitations that cannot be disregarded, including reliance on system models, inadequate model accuracy, suboptimal efficiency, and unsatisfactory transient performance [12,13].…”
Section: Introductionmentioning
confidence: 99%
“…The modeling and control strategy of AC-based DFIG cannot be directly applied to double-VSC DFIG systems, relevant research on double-VSC DFIG has thus been extensively conducted. The traditional linear control strategy used to realize the stator-rotor coordinated MPPT control, for ex- ample, air-gap flux orientation control [7], stator flux orientation control [8], model predictive control [9], single-loop finite control set model predictive control [10], single-loop feedback linearization control [11]. However, the conventional linear control strategy exhibits certain inherent limitations that cannot be disregarded, including reliance on system models, inadequate model accuracy, suboptimal efficiency, and unsatisfactory transient performance [12,13].…”
Section: Introductionmentioning
confidence: 99%