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Robust Synchronous Reference Frame Phase-Locked Loop (PLL) With Feed-Forward Frequency Estimation

delete2026-06-11
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OA
AI
M
Michael Ruderman
E
Elia Brescia
P
Paolo Roberto Massenio
G
Giuseppe Leonardo Cascella
D
David Naso
DOI:10.1109/tcst.2026.3699047delete
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Abstract

Abstract

En 中文
Synchronous reference frame phase-locked loop (SRF-PLL) techniques are widely used for interfacing and control applications in the power systems and energy conversion at large. Since a PLL system synchronizes its output with an exogenous harmonic signal, often a three-phase voltage or current, the locking of both the frequency and phase angle depends on the performance of the feedback loop with at least two integrator terms, and on the distortions of the measured input quantities as well. For the conventional SRF-PLL with a proportional-integral (PI) control in feedback, we are providing a robust design that maximizes the phase margin and uses the normalization scheme to yield a loop insensitive to the input amplitude variations. The main improvement in the transient behavior and also in tracking of frequency ramps is achieved by using the robust feed-forward frequency estimator, which is model-free and suitable for the noisy and time-varying harmonic signals. The proposed feed-forward-feedback SRF-PLL scheme is experimentally evaluated on the three-phase harmonic currents from a standard PMSM drive with varying angular speeds and loads. Both the tracked angular frequency and locked phase angle are assessed as performance indicators of the presented SRF-PLL with and without feedforwarding.
Keywords:
Frequency estimation
phase detection
phase-locked loop (PLL)
robust adaptive estimator
symmetrical optimum feedback design
synchronous reference frame

Journal

IEEE Transactions on Control Systems Technology cover
IEEE Transactions on Control Systems Technology
IF:
3.9
Papers:
4.9K
Citations:
1.7W

Organization

P
polytechnic university of bari
Scholars:
156
Papers: 61
Citations: 0
U
University of Agder
Scholars:
2.1K
Papers: 2.3K
Citations: 3.4K