Yikun Xu
Papers
1
Total Citations
3
H-Index
1
About
Yikun Xu is a researcher specializing in advanced motor control and robotics actuation, with a focus on enhancing the dynamic performance of joint drive systems for legged robots. His most-cited work, "Field Programmable Gate Array Based Torque Predictive Control for Permanent Magnet Servo Motors" (2022, 3 citations), introduces a direct torque control method using a prediction model implemented on an FPGA. This contribution addresses the critical need for high-bandwidth, precise torque control in robotic joints, directly impacting the agility and stability of legged locomotion. By optimizing the innermost current control loop, Xu’s research bridges the gap between theoretical control algorithms and practical hardware implementation, offering a scalable solution for next-generation servo systems. His work is notable for its emphasis on real-time performance, leveraging FPGA parallelism to achieve faster response times than conventional microcontrollers. Though early in his career, Xu’s focus on torque predictive control positions him as an emerging voice in the intersection of power electronics, embedded systems, and robotics, with potential implications for industrial automation and autonomous mobile robots.
Research Focus
Key Achievements
Top Papers
- 1