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.Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.