Lingzhi Meng
Papers
1
Total Citations
3
H-Index
1
About
Lingzhi Meng is a robotics researcher whose work focuses on intelligent control systems for specialized inspection robots, particularly within the challenging environment of cable tunnels. His key research areas include motion control, anti-swing algorithms, and fuzzy logic applications for autonomous robotic navigation. Meng’s most notable contribution is the development of a hybrid velocity switching and fuzzy logic control scheme for cable tunnel inspection robots, designed to ensure smooth operation and minimize dangerous pendulum swings during acceleration and deceleration. This work, published in 2015, has garnered 3 citations and addresses a critical safety and stability problem in confined infrastructure inspection. By integrating fuzzy logic with velocity control, Meng’s approach enhances the reliability of robots tasked with monitoring high-voltage power transmission cables, a vital function for modern energy grids. His research bridges theoretical control engineering with practical robotic deployment, offering a robust solution for automating hazardous tunnel inspections. For students and researchers in robotics and control systems, Meng’s work exemplifies how hybrid control strategies can solve real-world industrial challenges, advancing the safety and efficiency of critical infrastructure maintenance.
Research Focus
Key Achievements
Top Papers
- 1