An adaptive neural PLL for grid synchronization

Bechouche, Alı; Sediki, Hamid; Abdeslam, Djaffar Ould; Haddad, Salah

doi:10.1109/iecon.2012.6389469

Cited by 15 publications

(8 citation statements)

References 13 publications

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“…The partial derivative for each element in the gradient ∇ w e is calculated by means of (15) and (16), by passing the corresponding harmonic through the filter D(z)/(D(z)+N (z)).…”

Section: Harmonic Disturbance Estimationmentioning

confidence: 99%

A Stable Adaptive Gradient Descent Harmonic-Disturbance Rejection for Improving Phase-Tracking Accuracy

et al. 2020

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This paper proposes a stable adaptive gradient descent for harmonic-disturbance rejection as a tool for grid-power signal processing, magnetic rotary encoders, and permanent-magnet synchronous motors. The method can be widely applied to increase the accuracy of phase or position estimation in various systems in which harmonic disturbances exist. The proposed technique is based on learning the harmonic amplitudes by means of gradient descent on the feedback phase error. To compensate for the disadvantages of existing gradient-descent methods, the derivative expansion is fully developed with system transfer function integration for stable weighting update. In addition, an adaptive learning rate is also proposed based on discrete Lyapunov standard to achieve stability, and theoretical analysis is discussed. The performance of the method is evaluated by numerical simulation in MATLAB with various scenarios, and by the experiment with the rotary magnetic encoders. The results show that the proposed method achieves stability and high performance in harmonic rejection.

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“…The partial derivative for each element in the gradient ∇ w e is calculated by means of (15) and (16), by passing the corresponding harmonic through the filter D(z)/(D(z)+N (z)).…”

Section: Harmonic Disturbance Estimationmentioning

confidence: 99%

A Stable Adaptive Gradient Descent Harmonic-Disturbance Rejection for Improving Phase-Tracking Accuracy

et al. 2020

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“…Therefore, the synchronization aspect with the grid voltage vector is considered and an adaptive neural phase-locked loop (AN-PLL) is used. This AN-PLL has been developed in our laboratories and details of its design can be founded in [13]. Identification of ac filter parameters using the proposed ADALINE technique consists of implementing (21) for each phase.…”

Section: A Experimental Platform Descriptionmentioning

confidence: 99%

Adaptive ac filter parameters identification of three-phase PWM rectifiers

Bechouche

Abdeslam

Seddiki

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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A new method for adaptive ac filter parameters identification of three phase pulse-width modulated rectifiers is presented in this paper. The proposed method is based on three adaptive linear neurons to identify online the ac filter resistances and inductances. The main advantage of this method is its simplicity and it requires low computational cost. The identification algorithm is implemented and three experimental tests have been realized in order to identify in real time the ac filter resistances and inductances. First test is performed in steady state operation. Two other tests are conducted to testing the track ability of the proposed method relative to parameters variations. Experimental results demonstrate that the proposed method provides accurate ac filter parameter values and tracks well the parameters variations. The obtained parameter values can be exploited for diagnosis purposes of ac filter status or in a control strategies.

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“…Phase-locked loop (PLL) [19][20][21][22][23][24][25][26] provides an estimation of the grid voltage parameters by using a combination of phase detector and a low-pass filter. Traditional PLL often referred as the synchronous reference frame PLL (SRF-PLL) assumes that the grid voltages have same magnitude, that is, voltages are balanced.…”

Section: Introductionmentioning

confidence: 99%

A Quasi open‐loop robust three‐phase grid‐synchronization technique for non‐ideal grid

Ahmed

Biricik

Benbouzid

2021

IET Generation Trans & Dist

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Development of advanced grid-synchronization technique for unbalanced and distorted grid is considered in this paper. In this context, self-tuning filter (STF) is considered to extract the fundamental component from the measured unbalanced and distorted voltages. Standard STF considers balanced grid voltages which is not always possible to ensure in the actual power grid. To mitigate this issue, an extended STF is proposed by analyzing the standard STF in the state-space framework. To make the proposed ESTF grid-following, a robust open-loop frequency estimator is also applied. The closed-loop system enjoys excellent filtering benefit from the extended STF side while taking advantage of the fast convergence speed property of the open-loop frequency estimation technique. Numerical simulation and experimental results with double second-order generalized integrator phase-locked loop are provided to validate the theoretical developments.

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An adaptive neural PLL for grid synchronization

Cited by 15 publications

References 13 publications

A Stable Adaptive Gradient Descent Harmonic-Disturbance Rejection for Improving Phase-Tracking Accuracy

A Stable Adaptive Gradient Descent Harmonic-Disturbance Rejection for Improving Phase-Tracking Accuracy

Adaptive ac filter parameters identification of three-phase PWM rectifiers

A Quasi open‐loop robust three‐phase grid‐synchronization technique for non‐ideal grid

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