Papers

2

Total Citations

16

H-Index

2

About

Ronggang Ni is a researcher specializing in high-precision position sensing for advanced manufacturing and robotics, with a particular focus on Variable Reluctance Resolvers (VRRs). His major contributions center on improving the accuracy of inductance parameter calculations for these critical sensors, which are essential for servo motor systems in industrial robots and other high-end automation applications. Ni developed a modified approach to the winding function method, enabling more precise modeling of VRRs—a key step toward enhancing position detection in demanding environments. His most cited work, "Modified Approach to Inductance Calculation of Variable Reluctance Resolver Based on Segmented Winding Function Method" (2023), has garnered 13 citations, reflecting its relevance to the rapidly growing field of servo-driven manufacturing. A related 2022 paper further advanced this methodology, addressing the increasing demands of China’s high-market manufacturing industry. Ni’s research directly supports the development of more reliable and accurate resolvers, which are foundational to modern robotics and automation. His work stands at the intersection of electrical engineering and industrial innovation, offering practical solutions for next-generation servo systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Modified Approach to Inductance Calculation of Variable Reluctance Resolver Based on Segmented Winding Function Method
13 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Qingdao University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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