Daqing Zhang

Changzhou Academy of Intelli-Ag Equipment (China)

Papers

Total Citations

H-Index

About

Daqing Zhang is a researcher specializing in hydraulic robotics and automation, with a particular focus on the control and modeling of hydraulic excavator systems. His work centers on the development of electro-hydraulic control architectures, adaptive control strategies, and trajectory planning for robotic excavators — a technically demanding field that bridges heavy machinery engineering with advanced control theory. Zhang's most notable contribution involves the design and implementation of retrofitted electro-hydraulic systems for hydraulic robotic excavators, leveraging the Load-Sensing with Differential Pressure Control (LUDV) system principle. His 2012 paper on adaptive control of hydraulic excavator manipulators introduced a comprehensive hardware architecture and derived simplified yet experimentally verified electro-hydraulic models, earning 6 citations. Complementing this, his 2010 work explored Hardware-In-Loop (HIL) simulation for trajectory control and modeling parameter estimation, demonstrating a rigorous experimental approach to validating control system prototypes before real-world deployment, accumulating 3 citations. Through these contributions, Zhang has helped advance the automation of construction machinery, reducing reliance on manual operation while improving precision and efficiency. His research offers valuable insights for engineers and students working at the intersection of fluid power systems, robotics, and intelligent control.