Robust finite-time estimation of biased sinusoidal signals: A volterra operators approach

被引：32

作者：

Pin, Gilberto ^{[1
]}

Chen, Boli ^{[2
]}

Parisini, Thomas ^{[2
,3
]}

机构：

[1] Electrolux Italia SpA, Porcia Pn, Italy

[2] Imperial Coll London, Dept Elect & Elect Engn, London, England

[3] Univ Trieste, Dept Engn & Architecture, I-34127 Trieste, Italy

来源：

AUTOMATICA | 2017年 / 77卷

关键词：

Finite-time estimation; Sinusoidal parameters estimation; Volterra operator; Kernels; FREQUENCY ESTIMATION; PARAMETER-IDENTIFICATION; STABILITY; OBSERVER; FILTER; NOISE;

D O I：

10.1016/j.automatica.2016.10.031

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel finite-time convergent estimation technique is proposed for identifying the amplitude, frequency and phase of a biased sinusoidal signal. Resorting to Volterra integral operators with suitably designed kernels, the measured signal is processed yielding a set of auxiliary signals in which the influence of the unknown initial conditions is removed. A second-order sliding mode-based adaptation law fed by the aforementioned auxiliary signals - is designed for finite-time estimation of the frequency, amplitude, and phase. The worst case behavior of the proposed algorithm in presence of the bounded additive disturbances is fully characterized by Input-to-State Stability arguments. The effectiveness of the estimation technique is evaluated and compared with other existing tools via extensive numerical simulations.(C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：120 / 132

页数：13

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