Addressing DC Component in PLL and Notch Filter Algorithms

Karimi-Ghartemani, Masoud; Khajehoddin, S. Ali; Jain, Praveen; Bakhshai, Alireza; Mojiri, M.

doi:10.1109/tpel.2011.2158238

Cited by 337 publications

(231 citation statements)

References 24 publications

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“…It should be mentioned that the developed OSG exhibits DC offset rejection by integrating a simple integral loop. This is different from DC offset elimination loops based on the error between the input signal and the output in-phase signal proposed in [14] and [15]. Subsequently, the new AF-SPLL is proposed.…”

Section: Introductionmentioning

confidence: 99%

A New Orthogonal Signal Generator with DC Offset Rejection for Single-Phase Phase Locked Loops

Huang¹,

Dong²,

Fang³

et al. 2016

Journal of Power Electronics

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This paper presents a new orthogonal signals generator (OSG) with DC Offset rejection for implementing a phase locked loop (PLL) in single-phase grid-connected power systems. An adaptive filter (AF) based on the least mean square (LMS) algorithm is used to constitute the OSG in this study. The DC offset in the measured grid voltage signal can be significantly rejected in the developed OSG technique. This generates two pure orthogonal signals that are free from the DC offset. As a result, the DC offset rejection performance of the presented single-phase phase locked loop (SPLL) can be enhanced. A mathematical model of the developed OSG and the principle of the adaptive filter based SPLL (AF-SPLL) are presented in detail. Finally, simulation and experimental results demonstrate the feasibility of the proposed AF-SPLL.

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Section: Introductionmentioning

confidence: 99%

A New Orthogonal Signal Generator with DC Offset Rejection for Single-Phase Phase Locked Loops

Huang¹,

Dong²,

Fang³

et al. 2016

Journal of Power Electronics

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“…Among them, it is worth to recall the adaptive notch-filtering method (ANF) (see [5], [6]) and the Phase-Locked-Loop (PLL) (see, for instance [7], [8]) for their popularity in power and electrical systems, though they are applicable for a single sinusoid only. In several practical applications, a zero-mean sinusoidal signal is not available; to deal with a dc offset, the traditional PLL and ANF methodologies are typically augmented heading towards a second-order generalized integrator-based orthogonal signal generator (OSG-SOGI) [9]. The OSG-SOGI architecture is also exploited in [10] and [11] to cope with the biased signal case, namely, in [11] the OSG-SOGI is extended to the thirdorder generalized integrator-based OSG (OSG-TOGI) that is characterized by an adaptive resonant frequency.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive-Observer-Based Robust Estimator of Multi-sinusoidal Signals

Chen

et al. 2018

IEEE Trans. Automat. Contr.

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Abstract-This paper presents an adaptive observer-based robust estimation methodology of the amplitudes, frequencies and phases of biased multi-sinusoidal signals in presence of bounded perturbations on the measurement. The parameters of the sinusoidal components are estimated on-line and the update laws are individually controlled by an excitation-based switching logic enabling the update of a parameter only when the measured signal is sufficiently informative. This way doing, the algorithm is able to tackle the problem of over-parametrization (i.e., when the internal model accounts for a number of sinusoids that is larger than the true spectral content) or temporarily fading sinusoidal components. The stability analysis proves the existence of a tuning parameter set for which the estimator's dynamics are input-to-state stable with respect to bounded measurement disturbances. The performance of the proposed estimation approach is evaluated and compared with other existing tools by extensive simulation trials and real-time experiments.

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“…In the real power system signals, in addition to harmonics and inter-harmonics, some unknown additive direct-current bias 13,14 resulting from the variation of environment temperature, zero drift of sensors and deviations of parameters of detection circuits probably should be addressed by the new method.…”

Section: Introductionmentioning

confidence: 99%

Estimation of symmetrical components and their orthogonal components under unknown frequencies and unknown biases

et al. 2017

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An algorithm to estimate symmetrical components, orthogonal components and amplitudes of each sinusoidal component in three-phase power system signal under unknown frequencies and unknown biases is presented. The algorithm consists of a signal transformation, a biased adaptive orthogonal decomposition (BAOD) and a symmetrical component estimation. The BAOD can be regarded as a combination of a low pass filter and a number of three-phase frequency estimators in parallel. The symmetrical component estimation employs addition and multiplication rather than operations of trigonometry, division and phase shift. The decomposition property and the convergence property were investigated by Lyapunov theorem, integral manifold of slow adaptation and average method. Two design parameters, bandwidth parameter and frequency adaptive gains, give different effects on the convergence property of frequency adaptation and amplitude estimation independently. Simulation results demonstrate the performance of the method.

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Addressing DC Component in PLL and Notch Filter Algorithms

Cited by 337 publications

References 24 publications

A New Orthogonal Signal Generator with DC Offset Rejection for Single-Phase Phase Locked Loops

A New Orthogonal Signal Generator with DC Offset Rejection for Single-Phase Phase Locked Loops

An Adaptive-Observer-Based Robust Estimator of Multi-sinusoidal Signals

Estimation of symmetrical components and their orthogonal components under unknown frequencies and unknown biases

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