This paper deals with a novel robust estimation methodology yielding the amplitudes, frequencies and phases of the components of a biased multi-sinusoidal signal in presence of a bounded disturbance on the measurement. The proposed method is based on a suitable adaptive observer in which the parameters’ adaptation law is equipped with an excitationbased switching logic. The stability analysis shows the existence of a set of tuning parameter guaranteeing that the estimator’s dynamics is input-to-state stable with respect to bounded measurement disturbances. The effectiveness of the algorithm is illustrated by some simulation examples also reporting a few comparison results.

An Adaptive Observer-based Estimator for Multi-sinusoidal Signals

PIN, GILBERTO;PARISINI, Thomas
2014-01-01

Abstract

This paper deals with a novel robust estimation methodology yielding the amplitudes, frequencies and phases of the components of a biased multi-sinusoidal signal in presence of a bounded disturbance on the measurement. The proposed method is based on a suitable adaptive observer in which the parameters’ adaptation law is equipped with an excitationbased switching logic. The stability analysis shows the existence of a set of tuning parameter guaranteeing that the estimator’s dynamics is input-to-state stable with respect to bounded measurement disturbances. The effectiveness of the algorithm is illustrated by some simulation examples also reporting a few comparison results.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2784141
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