Work

Research on Gait Planning for Wind Turbine Blade Climbing Robots Based on Variable-Cell Mechanisms

Year: 2026

Type: article

Abstract: To address the complex surface curvature, massive dimensions, and variable pitch angles of wind turbine blades, this paper proposes a climbing robot design based on a variable-cell mechanism. By dynamically adjusting the support span and body posture, the robot adapts to the geometric features of different blade regions, enabling stable and efficient non-destructive inspection operations. Two reconfigurable configurations-a planar quadrilateral and a regular hexagon-are proposed based on the geometric characteristics of different blade regions. The configuration switching conditions and multi-leg cooperative control mechanisms are investigated. Through static stability margin analysis, the stable gait space and maximum stride length for each configuration are determined, optimizing the robot's motion performance on surfaces with varying curvature. Simulation and experimental results demonstrate that the proposed multi-configuration gait planning strategy exhibits excellent adaptability and climbing stability across segments of varying curvature. This provides a theoretical foundation and methodological support for the engineering application of robots in wind turbine blade maintenance.

Source: Sensors

DOI: 10.3390/s26020547

Authors: Hao Lu, Guanyu Wang, Wei Zhang, Mingyang Shao, Xiaohua Shi

Institutions: Tianjin University of Science and Technology, Yanshan University

Language: English

Topic: Power Line Inspection Robots

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Yanshan University