Using the drive train of an gearless wind-energy-converter for active damping of oscillations in rotor blades

Author(s):  
Alexander Broy ◽  
Constantinos Sourkounis
2021 ◽  
Vol 111 (09) ◽  
pp. 622-627
Author(s):  
Michael Neubauer ◽  
Patrick Mesmer ◽  
Armin Lechler ◽  
Alexander Verl

Von Industrierobotern wird zunehmend eine hohe Bahn genauigkeit und ein gutes Störunterdrückungsverhalten gefordert. Um dem gerecht zu werden, wird hier ein semiaktiver Dämpfungsansatz vorgestellt, der Antriebsstrangschwingungen aktorbasiert dämpft. Damit geht ein stärker gedämpftes Systemverhalten einher, wodurch sich die Regelverstärkungsfaktoren erhöhen lassen. Das Resultat ist ein verbessertes Gesamtverhalten, das an einem „Kr210–2“ von Kuka mit semiaktiver Dämpfung an Achse 1 nachgewiesen wird.   Industrial robots are increasingly required to provide high path accuracy and good disturbance rejection behavior. In order to achieve this, a semi-active damping approach is presented, which damps drive train vibrations actuator-based. This leads to a more damped system behavior, allowing control gains to be increased. The result is an improved overall behavior, which is demonstrated on a Kuka Kr210–2 with semi-active damping on axis 1.


2005 ◽  
Vol 127 (2) ◽  
pp. 253-261 ◽  
Author(s):  
Peter Caselitz ◽  
Jochen Giebhardt

Background: Due to cost effectiveness and operational safety online monitoring of rotor blades is recommended, especially for offshore wind energy converters. Method of Approach: Statistic evaluation of wind speed and power output of a wind energy converter is used to monitor the overall rotor performance including increased blade surface roughness. Nacelle oscillation spectral analysis methods are applied to monitor the rotor faults mass imbalance and aerodynamic asymmetry. Results: Results of ISET’s research work related to online rotor condition monitoring are presented. A description of the fault effects on the rotor, the sensor and data acquisition equipment and a description of the developed signal processing and fault prediction algorithms are given. The paper also presents results from experiments and field tests. Conclusions: The developed algorithms have been verified due to their monitoring capabilities and suitability in commercial online condition monitoring systems.


2001 ◽  
Vol 16 (3) ◽  
pp. 375-381 ◽  
Author(s):  
C.L. Kana ◽  
M. Thamodharan ◽  
A. Wolf

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