Modelling and estimation of gear train backlash present in wind turbine driven DFIG system

Modelling and estimation of gear train backlash present in wind turbine driven DFIG system

For access to this article, please select a purchase option:

Buy eFirst article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
— Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The backlash, which is always present in the gears of drive-trains to enable smooth operation, may increase with time due to the wear and tear during mechanical power transmission. Accurate knowledge of the amount of backlash non-linearity is required in such systems for monitoring control applications as well as developing maintenance strategies. In this study, the modelling and online estimation of the backlash existing in the gear train of wind turbine driven doubly fed induction generator (DFIG) systems is presented. The estimation has been performed using the unscented Kalman filter considering the backlash as a parameter and augmenting it as a state into the dynamics. Local measurements of the DFIG system have been used to estimate the backlash. The performance and efficacy of the method have been investigated in different scenarios viz. system parameters, noise levels of the measurements and operating points of the DFIG system. The estimation has also been performed in an environment of the time-varying wind, modelled by Van der Hoven's spectral model. The estimation has been enabled by the bad-data detection and examined in the presence of unknown mechanical parameters of the shaft.

Related content

This is a required field
Please enter a valid email address