Articles | Volume 4, issue 4
Research article
18 Dec 2019
Research article |  | 18 Dec 2019

Uncertainty identification of blade-mounted lidar-based inflow wind speed measurements for robust feedback–feedforward control synthesis

Róbert Ungurán, Vlaho Petrović, Lucy Y. Pao, and Martin Kühn

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Cited articles

Barlas, T. K., van Wingerden, J.-W., Hulskamp, A. W., van Kuik, G. A. M., and Bersee, H. E. N.: Smart dynamic rotor control using active flaps on a small-scale wind turbine: aeroelastic modeling and comparison with wind tunnel measurements, Wind Energy, 16, 1287–1301,, 2013. a
Berg, J. C., Resor, B. R., Paquette, J. A., and White, J. R.: SMART wind turbine rotor. Design and field test, Tech. rep., Sandia National Laboratories, Sandia National Laboratories, Albuquerque, New Mexico, USA, available at: (last access: 29 November 2019), 2014. a
Bergami, L. and Poulsen, N. K.: A smart rotor configuration with linear quadratic control of adaptive trailing edge flaps for active load alleviation, Wind Energy, 18, 625–641,, 2015. a
Bossanyi, E. A.: Individual blade pitch control for load reduction, Wind Energy, 6, 119–128,, 2003. a, b, c
Bossanyi, E. A.: Further load reductions with individual pitch control, Wind Energy, 8, 481–485,, 2005. a
Short summary
A novel lidar-based sensory system for wind turbine control is proposed. The main contributions are the parametrization method of the novel measurement system, the identification of possible sources of measurement uncertainty, and their modelling. Although not the focus of the submitted paper, the mentioned contributions represent essential building blocks for robust feedback–feedforward wind turbine control development which could be used to improve wind turbine control strategies.