Design and Implementation of an Arduino-Based Windmill Direction Tracking System: A Low-Cost Approach

Proper tracking of wind direction is vital to ensure maximum energy extraction from wind. This paper presents a low-cost Arduino-based windmill direction tracking system in- spired by principles discussed in modern wind turbine emulation systems and sensorless control strategies. While wind turbine emulators replicate turbine aerodynamics and shaft dynamics in laboratory conditions, and sensorless DFIG-based systems estimate the wind speed for maximum power extraction, the present work adapts these ideas into a hardware-oriented yaw- tracking mechanism. For aligning a small turbine model with real-time wind direction, the system integrates a digital wind vane sensor, Arduino UNO controller, and a servo-motor-based yaw control mechanism. Experimental evaluation demonstrates high accuracy, fast response, and robust operation for educational, research, and prototype applications.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-23
DOI
https://doi.org/10.5281/zenodo.18028915
Primary Topic
Wind Energy Research and Development
Type
article
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article

Design and Implementation of an Arduino-Based Windmill Direction Tracking System: A Low-Cost Approach

Monu Malik
Zenodo (CERN European Organization for Nuclear Research)
Wind Energy Research and Development
article

Design and Implementation of an Arduino-Based Windmill Direction Tracking System: A Low-Cost Approach

Monu Malik
article en

Abstract

Proper tracking of wind direction is vital to ensure maximum energy extraction from wind. This paper presents a low-cost Arduino-based windmill direction tracking system in- spired by principles discussed in modern wind turbine emulation systems and sensorless control strategies. While wind turbine emulators replicate turbine aerodynamics and shaft dynamics in laboratory conditions, and sensorless DFIG-based systems estimate the wind speed for maximum power extraction, the present work adapts these ideas into a hardware-oriented yaw- tracking mechanism. For aligning a small turbine model with real-time wind direction, the system integrates a digital wind vane sensor, Arduino UNO controller, and a servo-motor-based yaw control mechanism. Experimental evaluation demonstrates high accuracy, fast response, and robust operation for educational, research, and prototype applications.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 23%
Wind Energy Research and Development
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