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REVIEW 2 major objections 6 minor 9 references

A Novel Synchronous Reference Frame Frequency-Locked Loop

T0 review · 2 major / 6 minor · reviewed 2026-08-14 · deepseek-v4-flash

Pith's one-line read This paper claims that feeding the dq-frame phase error through the loop filter $G(s)=ds/(V(s+k))$ makes the frequency estimate a first-order system, so gain $d$ can be raised without degrading damping.

desk verdict A genuinely new FLL architecture with a clean small-signal design story, held back by a hidden linearization assumption and a few skipped algebraic steps. read the letter →

arxiv 1908.08669 v3 pith:A7LOSMXO submitted 2019-08-23 eess.SY cs.SY

classification eess.SYcs.SY
keywords frequency-lockedloopsynchronousreferenceframedqphaseerrorfilterfirst-orderfrequencyestimationgridsynchronizationinvertercontrol
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

Grid-connected inverters need to estimate the grid frequency and phase quickly and cleanly. This letter proposes doing frequency-locked-loop estimation in the synchronous dq reference frame rather than the stationary $\alpha\beta$ frame, where small-signal modeling is harder. The key claim is that by feeding the dq-frame phase error $u_q$ through the loop filter $G(s)=d s/(V(s+k))$, the frequency-estimate transfer function becomes a first-order low-pass filter $\Delta\hat{\omega}/\Delta\omega = d/(s+d)$. That lets the frequency-estimation gain $d$ be increased to speed up response without pushing the loop into overshoot, which the conventional FLL cannot do. A sympathetic reader would care because grid synchronization is a basic building block of inverter control, and the paper offers a parameter-tuning rule that is simpler than the second-order models used for existing FLLs.

What carries the argument

The load-bearing object is the small-signal block diagram of the frequency-estimation loop in the dq frame (Fig. 2). The auxiliary complex variable $x_a = \mathrm{conj}(\hat{\mathbf{u}}_{dq})\mathbf{u}_{dq}$ is a complex low-pass filter whose imaginary part $x_{aI}$ carries the frequency error, while the q-axis voltage $u_q$ carries the phase error. Feeding $u_q$ through $G(s)=d s/(V(s+k))$ adds a term that cancels the prefilter pole at $-k$, turning the open-loop gain into $d/s$ and the closed-loop frequency estimate into a first-order low-pass filter with pole at $-d$. The same algebraic relation allows this filter to be realized without an extra filter block, by scaling the estimate error $\hat{u}_q-u_q$ by $d/V$ and integrating.

What would settle it

Apply a 20-degree phase step with $d$ set to several times $k$ and compare the measured frequency estimate to the first-order prediction $\Delta\hat{\omega}/\Delta\omega=d/(s+d)$; overshoot or a settling time that does not scale as $1/d$ would show the small-signal derivation misses the transient.

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Extended reading notes

Core claim

The paper's central discovery is that a frequency-locked loop implemented in the synchronous dq frame can use both frequency error (from $x_{aI}$, the imaginary part of a conjugate auxiliary variable) and phase error (from $u_q$) at the same time. Selecting the extra loop filter $G(s)=d s/(V(s+k))$ cancels the prefilter pole and converts the frequency-estimation closed loop into the first-order transfer function $\Delta\hat{\omega}/\Delta\omega = d/(s+d)$. The phase-corrected estimate $\hat{\omega}_b$ has poles at $-k$ and $-d$, so both characteristic roots are real for any positive $d$ and $k$. Consequently, unlike the conventional FLL whose damping ratio falls as the frequency gain rises, the SRF-FLL can raise $d$ to speed up tracking while keeping overdamped behavior; with the same prefilter $k$ it also has stronger high-frequency attenuation. The paper verifies this with bench experiments on frequency steps, phase steps, and amplitude sags.

Load-bearing premise

The derivation assumes the phase error stays close to zero and the frequency error is much smaller than the prefilter gain $k$; if a large transient violates that, the first-order transfer function is not guaranteed.

Editorial extensions

If this is right

  • With the same prefilter gain $k$, the proposed SRF-FLL can choose a larger frequency-estimation gain $d$, making the frequency response faster without the overshoot that appears in the conventional FLL at large $d$.
  • The frequency estimate $\hat{\omega}$ is a first-order system, so its settling time is set directly by $d$; this gives a simpler tuning rule than the second-order model used for conventional FLLs.
  • The phase-corrected estimate $\hat{\omega}_b$ has two real poles ($-k$ and $-d$), meaning overdamped response for all positive $k,d$, and is recommended as the final frequency output because it handles phase-step transients well.
  • The extra loop filter $G(s)$ is an additional design degree of freedom; the paper notes that choosing a PI controller in that path would drive $u_q$ to zero and produce a hybrid PLL-FLL behavior, which it leaves for future study.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The paper's verification is limited to the fundamental positive-sequence component; harmonic and unbalanced-grid operation is delegated to additional prefilters, so the claimed improvement is demonstrated only for clean fundamental-voltage conditions.
  • The pole-zero cancellation in $G(s)$ assumes exact knowledge of $V$ and $k$; voltage sags or parameter drift would leave residual dynamics that the paper does not quantify.
  • The dq-frame construction suggests a family of loop filters $G(s)$: a PI choice would blend PLL and FLL behavior, while resonant choices could target specific harmonics without adding integrators to the main frequency loop.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

2 major / 6 minor

Summary. The paper proposes a synchronous-reference-frame frequency-locked loop (SRF-FLL). It first defines SRF-FLL0, a dq-frame structure whose small-signal frequency-estimation transfer function is shown to be identical to that of the conventional αβ-frame FLL when the frequency gain is set to D=kd/V². It then augments SRF-FLL0 with a phase-error path G(s) and selects G(s)=d s/[V(s+k)], which collapses the open-loop gain to d/s. The resulting frequency estimate satisfies Δω̂/Δω = d/(s+d), i.e., a first-order response, and the alternative estimate ω̂_b has denominator (s+k)(s+d), giving real roots. The paper gives tuning guidelines, Bode plots, and experimental comparisons for frequency and phase steps, concluding that the proposed SRF-FLL has better filtering and transient performance than the conventional FLL with the same prefilter parameter k.

Significance. If the small-signal result holds over the intended operating range, the contribution is useful: it introduces an extra design degree of freedom for FLLs, gives a simple realization of G(s) through Eq. (20), and provides a clear explanation of why increasing the frequency-estimate gain does not degrade damping in the linearized model. The derivation is self-contained and the transfer functions are internally consistent; the equivalence of SRF-FLL0 with the conventional FLL is a clean analytic result. The experimental comparison against the conventional FLL under the same k supports the claimed improvement for the tested operating points.

major comments (2)
  1. [§III.A, Eqs. (17)–(18), Fig. 5] The first-order frequency-estimate result and the guideline that 'd can be increased without deteriorating damping' are derived from a small-signal model built on the assumptions θe≈0 and ωe<<k, stated before Eq. (8) and before Eq. (14). The experimental validation uses +5 Hz frequency steps and 20° phase steps with k=120π, so initially ωe/k≈0.083 and sinθe/θe≈0.98; these tests stay within the linearization but do not probe its boundary. Because Table I and the conclusion state the claim unconditionally, the manuscript should either provide a nonlinear stability and performance check (for example, simulations with ωe/k approaching unity and larger phase steps) or explicitly restrict the claim to the small-signal regime.
  2. [§III.A, Eq. (16), Fig. 3] The cancellation that produces the open-loop gain d/s in Eq. (17) requires exact knowledge of the grid-voltage amplitude V inside G(s)=d s/[V(s+k)], but the manuscript does not say how V is obtained or updated in the implementation. If the actual amplitude differs from the value used in G(s), the open-loop gain becomes d/s · [k+(V_act/V_nom)s]/(s+k), so the frequency estimate is no longer exactly first order and the damping-independence property is lost. The amplitude-sag test in Fig. 8(a) should be accompanied by a statement of how V is handled or by a sensitivity analysis.
minor comments (6)
  1. [Abstract] The abstract contains typographical errors such as 'propose s' and 'acquir e'; the manuscript should be proofread.
  2. [§II.B, Eq. (14)] Equation (14) is typeset ambiguously; the intended relation ω̂ = D x_aI/s + G(s) u_q should be written with explicit parentheses so that the two signal paths are clear.
  3. [§IV.B] The sentence 'The selection of k has no inference for the comparison results' should read 'no influence'.
  4. [Figs. 8–9] The axes of Figs. 8 and 9 lack clear numerical scales for the estimated quantities; annotating settling times or overshoot values would make the claimed improvements quantitative.
  5. [§IV.B] The manuscript should state the discretization method and sampling frequency used on the TMS320F28379D testbed, since the experimental results are obtained digitally.
  6. [References] Reference [6] is cited as 'vol. PP, no. 99, pp. 1–1'; please update it to the final publication data.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity found; the SRF-FLL derivation is self-contained synthesis, not a reduction to its inputs.

full rationale

The paper's derivation chain is self-contained. It begins with the conventional FLL transfer function (1), attributed to the external reference [9], and constructs the SRF-FLL0 by transforming the ROGI into the dq frame. With the conventional gain choice D = kd/V^2 in Eq. (9), the closed-loop transfer function (10) is shown by direct algebra to reproduce Eq. (1), which is a verification of equivalence rather than an assumed premise. The improved SRF-FLL then adds a phase-error path through G(s). Equation (15) gives the open-loop gain, and Eq. (16) is an explicit design choice, G(s) = d s / (V(s+k)). Substituting this choice into (15) collapses the open-loop gain to d/s in Eq. (17), and the closed-loop transfer function becomes d/(s+d) in Eq. (18). This is controller synthesis: the claimed first-order behavior is the designed consequence of the chosen G(s), not an input that is later relabeled as a prediction. The small-signal assumptions theta_e approximately 0 and omega_e much less than k are stated before Eqs. (8) and (14); they limit the validity of the linearized model during large transients, but this is a correctness or robustness limitation, not a circular step. The only self-citation, reference [6], is cited as an example of ROGI-based FLLs and as an option for multiple prefilters; it is peripheral and not load-bearing for the new result. The experimental comparisons in Figs. 5-7 are consistency checks of the derived transfer functions and parameter sweeps, not fitted predictions. No step in the paper reduces by definition to its own input.

Assumptions & free parameters 3 free parameters · 4 assumptions · 0 invented entities

The design uses two tunable gains (k and d) plus a conventional normalization D=k d/V². No physical entities are invented. The main assumptions are small-signal linearization (θ_e≈0, ω_e<<k) and a balanced fundamental input; these are standard for grid-synchronization letters and are stated in the text.

free parameters (3)
  • k = k=120π and 60π in experiments and Bode plots
    Prefilter gain that sets the bandwidth of the complex LPF in eq (2); chosen by the designer as a trade-off between filtering and settling time.
  • d = d=2k, k, 0.5k, 0.25k tested; d=k recommended
    Normalized frequency-estimate gain; sets the first-order bandwidth in eq (18) and the damping of the conventional FLL.
  • D = D = k d / V²
    Frequency-estimate integrator gain selected in eq (9), a conventional choice from the cited literature, so that SRF-FLL0 matches the conventional FLL transfer function.
assumptions (4)
  • domain assumption The frequency error is much smaller than the prefilter gain during transients (ω_e << k).
    Used to approximate the auxiliary-variable dynamics in eqs (6) and (8) and to build the small-signal model. Stated in Section II.A before eq (8).
  • domain assumption The phase error is small (θ_e ≈ 0) for the small-signal model.
    Stated in Section II.B before eq (14); required for the linearized block diagram in Fig. 2 and for u_q ≈ V θ_e.
  • domain assumption The input is a balanced fundamental positive-sequence voltage.
    Used in eq (3); harmonic and imbalance rejection is deferred to multiple prefilters as noted in Section IV.B.
  • standard math The transfer function of the conventional FLL reported in [9] is correct.
    Used in eq (1) as the benchmark to establish the equivalence of SRF-FLL0.

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Cite this review

Pith. "Pith review of A Novel Synchronous Reference Frame Frequency-Locked Loop." pith.science (2026). https://pith.science/paper/A7LOSMXO

@misc{pith2026190808669,
  author       = {Pith},
  title        = {Pith review of: A Novel Synchronous Reference Frame Frequency-Locked Loop},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/A7LOSMXO}},
  note         = {Machine review of arXiv:1908.08669}
}
read the original abstract

This letter proposes a new design of frequency-locked loop (FLL) which is based on synchronous (dq) reference frame instead of stationary ({\alpha}\b{eta}) reference frame. First, a synchronous reference frame FLL (briefly called SRF-FLL0) equivalent to the conventional FLL is proposed. Then the SRF-FLL0 is improved by utilizing the phase error to acquire a better performance. The small-signal modeling and parameter tuning of the improved synchronous reference frame FLL (SRF-FLL) are presented. Finally, the theoretical analysis and experiment results verify the superiority and effectiveness of proposed SRF-FLL.

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Reference graph

Works this paper leans on

9 extracted references · 9 canonical work pages

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