Ying ZHENG
Papers
1
Total Citations
8
H-Index
1
About
Ying Zheng is a researcher specializing in advanced control systems for industrial robotics, with a particular focus on active disturbance rejection control (ADRC) and servomechanism optimization. Her most cited work, published in 2022, introduces an adaptive PID controller based on a linear extended state observer (LESO) for two-degree-of-freedom joint servomechanisms in industrial robots. This contribution addresses critical challenges in robotic control, including time-varying loads, parameter uncertainties, and external disturbances, by integrating inertia estimation with variable gain strategies. The paper has garnered 8 citations, reflecting its relevance to researchers working on robust and adaptive control solutions for automation. Zheng’s work is notable for bridging theoretical control methods with practical industrial applications, enhancing the precision and reliability of robotic systems. Her research holds promise for advancing manufacturing automation, where disturbance rejection and adaptive performance are key. With a focus on real-world implementation, Zheng continues to contribute to the development of more intelligent and resilient robotic servomechanisms.
Research Focus
Key Achievements
Top Papers
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