Qunjing Wang
Papers
7
Total Citations
46
H-Index
4
About
Qunjing Wang is a leading researcher in advanced motor systems and robotics, with a primary focus on permanent magnet spherical motors, multi-motor coordinated control, and precision actuation for robotic applications. Their most impactful work includes the design and identification of lumped-parameter thermal network models for real-time temperature estimation in permanent magnet spherical motors (2023, 15 citations), enabling safer and more efficient operation in complex motion tasks. Wang also made significant contributions to point-to-point motion analysis for robot manipulators, developing dynamic models and current calculation methods that overcome the limitations of traditional multi-motor transmission systems, improving positioning precision and dynamic performance. Their research on Hall sensor errors in robot joint motors (2024, 6 citations) addresses critical challenges in brushless DC torque motor control, directly impacting the reliability of robotic systems. Wang’s comprehensive review of multi-motor coordinated control technologies (2025, 4 citations) synthesizes advanced strategies and intelligent algorithms, serving as a key reference for smart manufacturing and industrial automation. With over 46 citations across their most-cited works, Wang’s contributions to nonlinear friction compensation, fuzzy-optimized PID control, and neural network-based tracking control demonstrate a sustained commitment to solving real-world precision and stability challenges in robotics and motor control.
Research Focus
Key Achievements
Top Papers
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- 4Tracking Control of Nonholonomic Mobile Robots Based-on Dynamics Model5 citations · 2006
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- 6PID brushless DC motor control system based on fuzzy aptimized2 citations · 2010
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