Jaroonrut Prinyakupt
Papers
1
Total Citations
2
H-Index
1
About
Jaroonrut Prinyakupt is a researcher whose work sits at the intersection of control systems, robotics, and biomedical engineering. Her primary research focus is on enhancing the precision and performance of electromechanical systems, particularly servo motors, which are critical components in both robotic and biomedical devices. Her most cited work, "Enhancing MG996R Servo Motor Performance Using PSO-Tuned PID and Feedforward Control" (2025, 2 citations), addresses a fundamental challenge: improving the accuracy of factory-locked servo motors that lack inherent feedback mechanisms. By applying Particle Swarm Optimization (PSO) to tune PID controllers and integrating feedforward control, she developed a method that significantly boosts motor precision without requiring hardware modifications. This contribution is particularly valuable for cost-sensitive applications in prosthetics, surgical robotics, and automated laboratory equipment. While her citation count is still growing, the practical impact of her work is evident—her approach offers a scalable, low-cost solution to a common engineering bottleneck. Prinyakupt’s research exemplifies how intelligent control algorithms can bridge the gap between off-the-shelf components and high-precision requirements, making her a rising voice in the field of mechatronics and biomedical device optimization.
Research Focus
Key Achievements
Top Papers
- 1