Work

Spectral Prediction of Pitch Rate Distribution for Actuator Duty Cycle and Rate Saturation Probability Estimation under Individual Pitch Control

Year: 2026

Type: preprint

Abstract: . Pitch actuator usage under Individual Pitch Control is typically assessed a posteriori through computationally expensive aeroelastic simulations. This work proposes a spectral methodology to predict the pitch rate probability density function during linear control design stage, enabling the estimation of actuator duty cycle and rate saturation probability. The pitch rate is characterized as a Sine-on-Random process whose deterministic and stochastic parameters are estimated from operating point values, equivalent disturbance spectra and closed-loop transfer functions. Validation on the IEA 15 MW Reference Wind Turbine under turbulent inflow shows maximum errors of 0.79 % and 0.59 % for both indicators, respectively, providing an efficient methodology for designing linear controllers that explicitly account for actuator limitations, while reducing reliance on aeroelastic simulations.

Source: Wind Energy Science Discussions

DOI: 10.5194/wes-2026-171

Authors: Daniel Lacheta-Lecumberri, Irene Miquelez-Madariaga, Jorge Elso

Institution: Universidad Pública de Navarra (UPNA)

Language: English

Topic: Wind Turbine Control Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: hybrid

Funder: Gobierno de Navarra