An adaptive quasi-notch filter for a biased sinusoidal signal estimation

Fedele, Giuseppe; Ferrise, Andrea; Muraca, P.

doi:10.1109/icca.2011.6137998

Cited by 26 publications

(21 citation statements)

References 24 publications

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“…To tune the resonant frequency to the unknown one, an adaptation scheme has been proposed in [19] aṡ…”

Section: A Afll Propertiesmentioning

confidence: 99%

“…An adaptive frequency-locked loop system [19] is here adopted to remove the input disturbance by explicitly identifying the frequency of the disturbance in the adaptive scheme. In the next sections the filtering characteristics of such a scheme and the rejection capabilities of the control design in Fig.…”

Section: Control System Designmentioning

confidence: 99%

“…The method here proposed makes use of an adaptive frequency-locked loop system, namely AFLL (see [19], [20]), to identify the input frequency even in presence of noisy measurement data. In [19], an averaging analysis was used to prove the stability of such a scheme while in [20] a similar filter has been presented to cancel the effects of a biased multi-sinusoidal signal acting on an unknown plant. An original feature is that the disturbance cancellation scheme uses the internal signals produced by the AFLL.…”

Section: Introductionmentioning

confidence: 99%

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Torque ripple suppression control for permanent magnet motors

Fedele

Ferrise

2014

2014 European Control Conference (ECC)

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Permanent magnet motors are largely employed due to their high performances in terms of efficiency, power factor and power density. However, non-uniformity into the generated torque may heavily limit their use. In this paper a novel approach is proposed to cancel torque ripple when motor parameters are unknown. The cancellation scheme is based on the frequencies estimation of periodic disturbances acting on the generated motor torque. The estimation process makes use of an adaptive frequency-locked loop system driven by speed measurements. A fractional-order controller is designed to guarantee the stability of the closed-loop system.

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“…To tune the resonant frequency to the unknown one, an adaptation scheme has been proposed in [19] aṡ…”

Section: A Afll Propertiesmentioning

confidence: 99%

Section: Control System Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Torque ripple suppression control for permanent magnet motors

Fedele

Ferrise

2014

2014 European Control Conference (ECC)

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“…The Orthogonal Signal Generator-Second Order Generalized Integrator (OSG-SOGI) architecture represents an alternative solution to cope with a biased sinusoidal signal (see [13]). Moreover, in [14], a bank of adapted frequency-locked-loops (AFPLL) based on the third order generalized integrator OSG (OSG-TOGI) (see [15]) are exploited to address the multi-sinusoidal estimation problem. However, the available stability results obtained by averaging theory only ensure local convergence of the OSG-TOGI estimator.…”

Section: Introductionmentioning

confidence: 99%

A parallel prefiltering approach for the identification of a biased sinusoidal signal: Theory and experiments

Chen

et al. 2015

Adaptive Control & Signal

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SUMMARYThe problem of estimating the amplitude, frequency and phase of an unknown sinusoidal signal from a noisy biased measurement is addressed in this paper by a family of parallel pre-filtering schemes. The proposed methodology consists in using a pair of linear filters of specified order to generate a suitable number of auxiliary signals that are used to estimate -in an adaptive way -the frequency, the amplitude and the phase of the sinusoid. Increasing the order the pre-filters improves the noise immunity of the estimator, at the cost of an increase of the computational complexity. Among the whole family of estimators realizable by varying the order of the filters, the simple parallel pre-filters of order 2+2 and 3+3 are discussed in detail, being the most attractive from the implementability point of view. The behavior of the two algorithms with respect to bounded external disturbances is characterized by Input-to-State Stability arguments. Finally, the effectiveness of the proposed technique is shown both by comparative numerical simulations and by a real experiment addressing the estimation of the frequency of the electrical mains from a noisy voltage measurement.

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“…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. Apart from the aforementioned methods, a number of nonlinear estimation algorithms employing suitable pre-filtering techniques also have been presented in literature to address the AFP estimation in presence of an unknown bias (see, for example, [12], [13], [14], [15], [16] and the references cited therein).…”

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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An adaptive quasi-notch filter for a biased sinusoidal signal estimation

Cited by 26 publications

References 24 publications

Torque ripple suppression control for permanent magnet motors

Torque ripple suppression control for permanent magnet motors

A parallel prefiltering approach for the identification of a biased sinusoidal signal: Theory and experiments

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

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