Papers
12
Total Citations
111
H-Index
6
About
Dachang Zhu is a robotics and control systems researcher whose work centers on advanced motion control, trajectory planning, and mechanism design for robotic manipulators and parallel robots. His most significant contributions lie in developing sophisticated control strategies that address real-world challenges such as system uncertainties, external disturbances, and actuator faults. His most-cited work (32 citations) introduced a fuzzy neural network-based PID controller for achieving constant force control in robotic manipulators, reflecting the growing industrial demand for precision contact operations. Building on this foundation, Zhu has made notable advances in adaptive backstepping sliding mode control, fractional-order nonsingular terminal sliding mode control, and contour error compensation techniques, demonstrating a consistent drive toward greater trajectory accuracy and robustness. His research extends beyond software-based control into mechanical design, encompassing topology optimization of compliant mechanisms and Delta parallel robots, as well as innovative soft sensor development for flexible robotics and human-computer interaction. With publications spanning over fifteen years and cumulative citations exceeding 100, Zhu's body of work reflects both sustained productivity and growing influence, offering valuable contributions to researchers and engineers working at the intersection of intelligent control theory and precision robotic systems.
Research Focus
Key Achievements
Top Papers
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- 7Dual-Mode Synchronization Predictive Control of Robotic Manipulator6 citations · 2022
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