2018
DOI: 10.1109/tpel.2017.2713379
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A Nonadaptive Window-Based PLL for Single-Phase Applications

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Cited by 35 publications
(26 citation statements)
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“…MAFs are commonly regarded as "ideal LPFs" because, although they exhibit a first-order linear LPF magnitude envelope, they notch the harmonics of the tuned cut-off frequency ω c . However, interharmonics do not follow such behavior, and variations in frequency-a customary consideration for PLLs design-would take the signal out of the notched areas, demanding MAF's adaptability for guaranteeing harmonics' rejection-such an effect is deeply disclosed in [10]. Moreover, their tuning is dependent on a memory window that must store N ∈ N elements according to NT s = 2π/ω c ; for a small T s , memory allocation becomes inconvenient.…”
Section: Mafs' Backgroundmentioning
confidence: 99%
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“…MAFs are commonly regarded as "ideal LPFs" because, although they exhibit a first-order linear LPF magnitude envelope, they notch the harmonics of the tuned cut-off frequency ω c . However, interharmonics do not follow such behavior, and variations in frequency-a customary consideration for PLLs design-would take the signal out of the notched areas, demanding MAF's adaptability for guaranteeing harmonics' rejection-such an effect is deeply disclosed in [10]. Moreover, their tuning is dependent on a memory window that must store N ∈ N elements according to NT s = 2π/ω c ; for a small T s , memory allocation becomes inconvenient.…”
Section: Mafs' Backgroundmentioning
confidence: 99%
“…It is a novel approach, as neither MR systems nor sequential HB filtering have been reported in past related literature. Furthermore, the solutions to tackle known MAF issues seem to have moved away from the MAF itself and mostly focus on the PLL external structure or additional processing blocks [3,10,12]. It is shown here that HB-based PLLs exhibit enhanced performance against frequency-related disturbances at the cost of moderate dynamic losses.…”
Section: Introductionmentioning
confidence: 99%
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“…In the past, several researches have successfully shown that the frequency assessment technology was able to detect the PQs of defects in power system. These technologies include Zero-crossing Algorithm [5][6][7], Discrete Fourier Transform (DFT) [8][9][10][11][12][13], Kalman Filter (KF) [14,15], Phase-Locked Loops (PLL) [16,17], Newton Algorithm [18,19], Least squares Algorithm (LMS) [20,21], Prony Algorithm [4,22], Taylor Algorithm [23,24], and Artificial-intelligence Algorithm [25,26].…”
Section: Introductionmentioning
confidence: 99%