Papers

3

Total Citations

29

H-Index

2

About

Dr. Zhongming Pan is a researcher whose work bridges the fields of advanced magnetic sensing, intelligent robotics, and precision motor control. His most impactful contribution is the development of a magnetic sensor based on the giant magneto-impedance (GMI) effect, where he introduced a self-regulating technology for the bias magnetic field. This innovation, detailed in his most-cited paper (20 citations), significantly enhances sensor stability and sensitivity, offering a robust solution for high-precision magnetic field detection. Dr. Pan has also explored the integration of mobile robots with wireless sensor networks, specifically for laser automatic guided vehicles (AGVs), proposing a communication framework that moves beyond static central control to enable more dynamic vehicle-to-vehicle interaction. More recently, his work on a torque observer for permanent magnet synchronous motors (PMSMs) addresses a critical challenge in robotics: achieving accurate torque control without bulky physical sensors. By employing a model integration approach, his research (2 citations) provides a pathway for more compact and efficient robotic actuation. Through these diverse contributions, Dr. Pan demonstrates a consistent focus on enhancing the autonomy, precision, and intelligence of mechatronic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
29
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Magnetic sensor based on giant magneto-impedance effect using the self-regulating technology on the bias magnetic field
20 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: National University of Defense Technology, Chinese University of Hong Kong

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago