CLC number:
On-line Access: 2025-02-28
Received: 2023-12-07
Revision Accepted: 2024-04-01
Crosschecked: 2025-02-28
Cited: 0
Clicked: 1939
Citations: Bibtex RefMan EndNote GB/T7714
Jindan WANG, Xiaolong MA, Xinghan ZHU, Xin WANG, Lan ZHANG, Binrui WANG. Kinematic modeling and stability analysis for a wind turbine blade inspection robot[J]. Journal of Zhejiang University Science A, 2025, 26(2): 121-137.
@article{title="Kinematic modeling and stability analysis for a wind turbine blade inspection robot",
author="Jindan WANG, Xiaolong MA, Xinghan ZHU, Xin WANG, Lan ZHANG, Binrui WANG",
journal="Journal of Zhejiang University Science A",
volume="26",
number="2",
pages="121-137",
year="2025",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2300619"
}
%0 Journal Article
%T Kinematic modeling and stability analysis for a wind turbine blade inspection robot
%A Jindan WANG
%A Xiaolong MA
%A Xinghan ZHU
%A Xin WANG
%A Lan ZHANG
%A Binrui WANG
%J Journal of Zhejiang University SCIENCE A
%V 26
%N 2
%P 121-137
%@ 1673-565X
%D 2025
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2300619
TY - JOUR
T1 - Kinematic modeling and stability analysis for a wind turbine blade inspection robot
A1 - Jindan WANG
A1 - Xiaolong MA
A1 - Xinghan ZHU
A1 - Xin WANG
A1 - Lan ZHANG
A1 - Binrui WANG
J0 - Journal of Zhejiang University Science A
VL - 26
IS - 2
SP - 121
EP - 137
%@ 1673-565X
Y1 - 2025
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2300619
Abstract: Robots are used to conduct non-destructive defect detection on wind turbine blades (WTBs) and to monitor their integrity over time. However, current inspection robots are often bulky and heavy, and struggle to detect defects in the blade’s main beam, thus presenting difficulties in portability and effectiveness. To address these issues, we designed a wheel-wing composite robot equipped with a curved surface-adaptive phased array ultrasonic detection device for the detection of defects in the WTB’s main beam. We determined the pose equation under different section characteristics and identified the robot’s stable range of motion, thus developing a model of its kinematics. A detection device adapted for variable curvature surfaces was designed to ensure tight coupling between the robot’s probe and the blade. Additionally, element differential and least-square ellipse-fitting methods were employed to analyze blades with irregular sections. The simulation results demonstrated that the prototype can stably traverse an area with a vertical angle of ±14.06° at a speed of 0.25 m/s, fully covering the main beam area of the blade during walking operations. Moreover, the robot can scan the main beam area at a speed of 0.10 m/s, enabling the accurate detection of defects.
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