Papers
3
Total Citations
32
H-Index
3
About
Qingyun Zhang is a robotics researcher specializing in the dynamics and control of flexible spatial parallel robots. His work addresses the critical challenge of managing elastic deformations and vibrations in robotic systems with rigid and flexible components. Zhang’s most impactful contribution, an adaptive sliding mode neural network control algorithm for flexible spatial parallel robots (2021, 23 citations), directly tackles vibration suppression in moving platforms caused by flexible link deformation. He has also developed rigorous dynamic models using floating frame of reference formulations to analyze rigid-flexible coupling effects (2020, 6 citations), and proposed multi-flexible-body modeling methods for robots with both flexible joints and links (2023, 3 citations). By integrating neural network-based adaptive control with sliding mode techniques, Zhang advances the precision and stability of flexible parallel manipulators—a key enabler for applications requiring lightweight, high-speed automation. His work bridges theoretical dynamics with practical control, offering valuable frameworks for researchers in robotics, mechatronics, and structural vibration control.
Research Focus
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