DEVELOPMENT OF A WIND TURBINE BLADE INSPECTION ROBOT

Authors

  • Naphon Srikhumpha Department of Mechanical Engineering, Faculty of Engineering, Kasetsart University
  • Pongtorn Prombut Department of Mechanical Engineering, Faculty of Engineering, Kasetsart University

Keywords:

Wind turbine blades, Robot operating system, Inspection robot

Abstract

          This research aims to develop a robot for inspecting the operational condition and damage of wind turbine blades. The robot captures images and wirelessly transmits data to ground operators for assessment. The prototype robot is controlled using a Raspberry Pi 4 board, which manages movement via wireless signals and data communication through the Robot Operating System (ROS). Test results indicate that the robot can move on various inclinations and execute programmed functions effectively. It successfully transmits real-time images and records footage. On a flat surface, the movement times
were 0.44 minutes for forward motion, 0.38 minutes for backward motion, 1.19 minutes for left turns, and 1.35 minutes for right turns. On a 20-degree inclined surface, the robot remained operational but required more time compared to a flat surface, taking 9.24 minutes to move forward, 4.26 minutes to move backward, 10.43 minutes to turn left, and 9.31 minutes to turn right. At a 30-degree incline, the robot exhibited limited movement in different directions due to insufficient suction force from the vacuum pump to support its weight. This study demonstrates the robot’s capability in wind turbine blade inspection and provides opportunities for further development to enhance its efficiency in diverse operational conditions.

References

Department of Alternative Energy Development and Efficiency (DEDE). (2020). Alternative energy development plan 2018-2037 (AEDP 2018). Ministry of Energy, Thailand. (In Thai)

Electricity Generating Authority of Thailand. (2023). Unseen EGAT by ENGY repair wind turbine. Retrieved from https://www.egat.co.th/home/20230518-art01 [2024, 18 May.] (In Thai)

Elkmann, N., Felsch, T., & Forster, T. (2010). Robot for Rotor Blade Inspection. In the 1st International Conference on Applied Robotics for the Power Industry Delta Centre-Ville (pp. 1-5) Montréal, Canada. Retrieved from https://doi.org/10.1109/CARPI.2010.5624444

Gong, C., & Fan, L. (2023). Design and experiments of a hexapod robot for inspection of wind turbine blades. 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1-6.

Jeon, M., Byunggon, K., Park, S., & Hong, D. (2012). Maintenance robot for wind power blade cleaning. 2012 Proceedings of the 29th ISARC, Eindhoven, Netherlands: The International Association for Automation and Robotics in Construction.

Jung, S., Shin, J., Myeong, W., & Myung, H. (2015). Mechanism and system design of MAV (Micro Aerial Vehicle)-type wall-climbing robot for inspection of wind blades and non-flat surfaces. 2015 15th International Conference on Control, Automation and Systems (ICCAS), 1757-1761.

Katsaprakakis, D, A., Papadakis, N., & Ntintakis, I. (2021). A comprehensive analysis of wind turbine blade damage. Energies, 14(18), 5974.

Lauener, J., & Sliwinski, W. (2017). How to design & implement a modern communication middleware based on ZeroMQ. Conference: ICALEPCS 2017 - International Conference on Accelerator and Large Experimental Physics Control Systems, Barcelona, Spain. Retrieved from https://accelconf.web.cern.ch/icalepcs2017/papers/mobpl05.pdf [2023, 13 Jan.]

Li, Zhengyang., Li, Zhenjing., Tam, L.M., & Xu, Q. (2023). Design and development of a versatile quadruped climbing robot with obstacle‑overcoming and manipulation capabilities. IEEE/ASME Transactions on Mechatronics, 28, 1649-1661.

Nitta, Y., Tamura, S., & Takase, H. (2019). ZytleBot: FPGA integrated development platform for ROS based autonomous mobile robot. Retrieved from https://doi.org/10.1109/FPL.2019.00077 [2023, 22 Aug.]

Quigley, M., Gerkey, B., Conley, K., Faust, J., Foote, T., Leibs, J., Berger, E., Wheeler, R., & Ng, A. (2009). ROS: an open-source Robot Operating System. Paper presented at the ICRA Workshop on Open Source Software, Kobe, Japan. Retrieved from https://robotics.stanford.edu/~ang/papers/icraoss09-ROS.pdf

Shen, L., Zhao, X., Gao, C., & Shen, R. (2024). Design of wind turbine cabin inspection robot system.Conference: 2024 7th International Conference on Intelligent Robotics and Control Engineering (IRCE). Retrieved from https://doi.org/10.1109/IRCE62232.2024.10739809 [2024, 18 Dec.]

Yang, Y. Z., Ai, C. S., & Lee, K. (2013). A study of robot platform based on WiFi remote control. Applied Mechanics and Materials, 418, 20-24

Published

2025-12-30

Issue

Section

บทความวิจัย (Research Article)