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Technical Brief

A Sliding Mode Observer-Based Icing Detection and Estimation Scheme for Wind Turbines

[+] Author and Article Information
Maria Letizia Corradini

Scuola di Scienze e Tecnologie,
Università di Camerino,
Camerino (MC) 62032, Italy
e-mail: letizia.corradini@unicam.it

Gianluca Ippoliti

Dipartimento di Ingegneria dell'Informazione,
Università Politecnica delle Marche,
Ancona 60131, Italy
e-mail: gianluca.ippoliti@univpm.it

Giuseppe Orlando

Dipartimento di Ingegneria dell'Informazione,
Università Politecnica delle Marche,
Ancona 60131, Italy
e-mail: giuseppe.orlando@univpm.it

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received October 27, 2016; final manuscript received July 20, 2017; published online September 8, 2017. Assoc. Editor: Ryozo Nagamune.

J. Dyn. Sys., Meas., Control 140(1), 014502 (Sep 08, 2017) (5 pages) Paper No: DS-16-1518; doi: 10.1115/1.4037387 History: Received October 27, 2016; Revised July 20, 2017

In this paper, the problem of icing detection is considered for wind turbines (WTs) operating in medium speed wind region (region 2) and subject to a control law tracking the maximum delivery point of the power coefficient characteristic. Based on a robust observer of the rotor angular acceleration, rotor inertia is estimated in order to detect its eventual increase due to icing. Moreover, the observed value of rotor inertia can be potentially used for updating the controller parameters or to stop the turbine when icing is too severe. The proposed approach has been tested by intensive MatLab® simulations using the National Renewable Energy Laboratory 5 MW WT model.

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Figures

Grahic Jump Location
Fig. 1

(a) Wind inflow and (b) aerodynamic torque

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Fig. 2

(a) Actual inertia (smooth line) compared with the estimated inertia and (b) rotor angular speed

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Fig. 3

(a) Sliding variable sopt(t), (b) sliding variable σ(t), (c) tip speed ratio, and (d) electrical torque

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