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Nonlinear Model Predictive Control for Preventing Bird Collisions with Wind Turbines

Abstract

The deployment and operation of wind turbines can have a negative environmental impact on bird population. To preserve avian wildlife, several studies have been done to understand and reduce the risks of collisions between birds and wind turbines. This work proposes a novel control scheme for preventing bird collisions with rotating blades of wind turbines. The scheme consists of a nonlinear model predictive control (NMPC) based on obstacle avoidance. The core idea relies on the assumption that bird flight trajectories can be predicted, and then, the turbine speed is modified by a small amount to avoid a potential collision with the bird. The proposed NMPC scheme defines a bird-blade distance constraint to keep a safety distance between the wind turbine blades and birds approaching the rotor swept area. Numerical simulation results are presented to illustrate the behavior of the control scheme and its ability to prevent collisions.

Category

Academic chapter

Language

English

Author(s)

Affiliation

  • SINTEF Energy Research / Energisystemer
  • Norwegian University of Science and Technology

Date

25.08.2025

Year

2025

Publisher

IEEE (Institute of Electrical and Electronics Engineers)

Book

2025 IEEE Conference on Control Technology and Applications - CCTA

ISBN

9798331539085

Page(s)

220 - 225

View this publication at Norwegian Research Information Repository