Multi-Robot System for Wind Turbine Maintenance
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  • Release Date: 2021-11-19
  • wind turbine maintenance
  • climbing robot
  • weather independent operations
  • condition monitoring
  • odometry on wind turbines
  • multi robot
  • robot
  • aachen
  • josef franko
  • stephan kallweit
  • peter dahmann
Video Introduction

This video is adapted from 10.3390/en13102552

The maintenance of wind turbines is of growing importance considering the transition to renewable energy. This video presents a multi-robot-approach for automated wind turbine maintenance including a novel climbing robot. Currently, wind turbine maintenance remains a manual task, which is monotonous, dangerous, and also physically demanding due to the large scale of wind turbines. Technical climbers are required to work at significant heights, even in bad weather conditions. Furthermore, a skilled labor force with sufficient knowledge in repairing fiber composite material is rare. Autonomous mobile systems enable the digitization of the maintenance process. They can be designed for weather-independent operations. This work contributes to the development and experimental validation of a maintenance system consisting of multiple robotic platforms for a variety of tasks, such as wind turbine tower and rotor blade service. In this work, multicopters with vision sensors for global inspection are used to guide climbing robots. Light-weight magnetic climbers with surface contact were evaluated to analyze structure parts with non-destructive inspection methods and to locally repair smaller defects. Localization was enabled by adapting odometry for conical-shaped surfaces considering additional navigation sensors. Magnets were suitable for steel towers to clamp onto the surface. A friction-based climbing ring robot (SMART— Scanning, Monitoring, Analyzing, Repair and Transportation) completed the set-up for higher payload. The maintenance period could be extended by using weather-proofed maintenance robots. The multi-robot-system was running the Robot Operating System (ROS). Additionally, first steps towards machine learning would enable maintenance staff to use pattern classification for fault diagnosis in order to operate safely from the ground in the future.

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Franko, J.; Kallweit, S.; Engemann, H.; Duelberg, E.; Du, S. Multi-Robot System for Wind Turbine Maintenance. Encyclopedia. Available online: (accessed on 20 April 2024).
Franko J, Kallweit S, Engemann H, Duelberg E, Du S. Multi-Robot System for Wind Turbine Maintenance. Encyclopedia. Available at: Accessed April 20, 2024.
Franko, Josef, Stephan Kallweit, Heiko Engemann, Enno Duelberg, Shengzhi Du. "Multi-Robot System for Wind Turbine Maintenance" Encyclopedia, (accessed April 20, 2024).
Franko, J., Kallweit, S., Engemann, H., Duelberg, E., & Du, S. (2021, November 19). Multi-Robot System for Wind Turbine Maintenance. In Encyclopedia.
Franko, Josef, et al. "Multi-Robot System for Wind Turbine Maintenance." Encyclopedia. Web. 19 November, 2021.