Baowei Zhang
Papers
5
Total Citations
96
H-Index
5
About
Baowei Zhang is a leading researcher in advanced robotics control, specializing in the modeling and precision control of redundantly actuated parallel robots. His work centers on developing sophisticated force/position hybrid control schemes for complex 5-DOF and 6PUS-UPU robotic systems. Zhang’s major contributions include pioneering the application of fuzzy identification and delay compensation techniques to model the nonlinear dynamics of redundant parallel robots, and introducing fractional-order internal model control algorithms to overcome the limitations of traditional PID methods. His most cited paper (46 citations) establishes a model predictive control framework for force/position coordination, while subsequent works (each garnering 7-29 citations) advance two-degree-of-freedom control structures that significantly improve trajectory tracking and force regulation. By integrating fuzzy logic with fractional calculus, Zhang has created robust control architectures that handle the inherent nonlinearities and coupling effects in redundant actuation systems. His research provides critical theoretical foundations and practical algorithms for high-precision industrial robots requiring simultaneous force and position control, making his work essential reading for researchers in advanced robotics and mechatronics.
Research Focus
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