2021
DOI: 10.1109/jestpe.2020.2970445
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Recursive Least Squares-Based Adaptive Parameter Estimation Scheme for Signal Transformation and Grid Synchronization

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Cited by 17 publications
(14 citation statements)
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“…It is clear that γ , cos(θ), sin(θ) = 0, ∀t, Then from eq. 11and (12), it can be clearly inferred that ε µ = 0. This actually completes the local asymptotic stability of the proposed adaptive observer.…”
Section: Estimation Of Phase and Frequencymentioning
confidence: 95%
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“…It is clear that γ , cos(θ), sin(θ) = 0, ∀t, Then from eq. 11and (12), it can be clearly inferred that ε µ = 0. This actually completes the local asymptotic stability of the proposed adaptive observer.…”
Section: Estimation Of Phase and Frequencymentioning
confidence: 95%
“…various variants of least-square estimation [12], [13], adaptive notch filter (ANF) [14], various variants of delayed signal cancellation (DSC) techniques [15]- [19], linear observer [20]- [23], harmonic oscillators (linear and nonlinear) [24], [25], various variants of phase-locked loop (PLL) [26]- [30], demodulation-based techniques [31], [32], open-loop techniques [33], [34], etc.…”
Section: Introductionmentioning
confidence: 99%
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“…Numerous techniques are available in the literature that deal with fast and accurate frequency estimation. Some popular tools are: phase-locked loop (PLL) ( [1], [2]) frequency-locked loop (FLL) [3], demodulation [4], least-square [5], Kalman filter [6], neural network [7] and so on.…”
Section: Introductionmentioning
confidence: 99%
“…So, additional filters are required. Demodulation [4] and least-square [5] use an initial phase-angle-based technique for frequency estimation. The demodulation technique applies additional moving average filters, and adaptive tuning of the filter's window length can be challenging and computationally demanding.…”
Section: Introductionmentioning
confidence: 99%