Papers
3
Total Citations
52
H-Index
3
About
Rong Qi is a control systems researcher whose work focuses on high-precision position control for electric motor servo systems, particularly Permanent Magnet Synchronous Motors (PMSM) and Permanent Magnet Linear Motors (PMLM). Their major contributions lie in developing advanced adaptive and learning-based control algorithms to overcome friction uncertainty, parameter perturbations, and external disturbances at low speeds. Notably, Qi’s most cited paper (2023, 29 citations) proposes a novel adaptive PD-type iterative learning control that significantly improves PMSM servo system performance for emerging robotic applications. Their subsequent work (2023, 13 citations; 2024, 10 citations) introduces predefined time convergent sliding mode controllers, including an ELM-based adaptive variant that handles physical constraints like control saturation. These innovations address the rigorous accuracy demands of modern industrial and robotics systems, offering robust position tracking under challenging conditions. With a growing citation record and a clear trajectory toward solving real-world servo control challenges, Rong Qi is establishing themselves as a promising voice in precision motion control research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3