Measurement based flow speed estimation for tidal turbine control

Recalde-Camacho, Luis and Yue, Hong; Ishii, Hideaki and Ebihara, Yoshio and Imura, Jun-ichi and Yamakita, Masaki, eds. (2023) Measurement based flow speed estimation for tidal turbine control. In: 22nd IFAC World Congress. IFAC-PapersOnLine, 56-2 . International Federation of Automatic Control (IFAC), JPN, pp. 5419-5424. (https://doi.org/10.1016/j.ifacol.2023.10.191)

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Abstract

This work aims to explore effective online torque estimation techniques for tidal turbine control under varying flow conditions. A modified Kalman filter with adaptive features is developed to estimate hydrodynamic torque from a tidal turbine's available measurements, based on which a modified Newton-Rapson method is employed to calculate the effective flow speed. The rotor speed reference signal required for tidal turbine control can be produced using the estimated torque and flow speed. The Kalman filter model is constructed using on a low frequency lumped parameter model of a horizontal-axis, fixed-pitch, two-bladed variable speed tidal turbine, established from a fully characterised model of a real turbine. The adaptive feature of the Kalman filter allows the tracking of the spatial-temporal variations of the effective flow speed caused by turbulence. Simulation studies are implemented to test the developed algorithm over the full envelope of the flow speeds.

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