V. Hernandez
Papers
1
Total Citations
2
H-Index
1
About
V. Hernandez is a researcher in control systems and mechatronics, with a focus on adaptive and intelligent control strategies for electromechanical systems. Their major contribution lies in the comparative analysis of classical and modern control techniques, particularly in the domain of DC servomotor speed regulation. In their most-cited work, Hernandez demonstrates a novel integration of MATLAB’s PID Tuner and Neural Network tools with the ESP32 microcontroller, applying Kirchhoff’s law to achieve precise, real-time feedback control of a separately excited TRE-TS3252 DC servomotor. This work bridges theoretical optimization and practical embedded implementation, offering a replicable framework for adaptive motor control in robotics and automation. While their citation count is currently modest (2 citations), the paper’s recent publication (2023) signals growing relevance in the field. Hernandez’s research is notable for its hands-on, simulation-to-hardware approach, making it valuable for students and engineers seeking accessible, comparative case studies in control system design. Their work underscores the potential of combining traditional PID tuning with neural network adaptability for enhanced performance in low-cost, microcontroller-based platforms.
Research Focus
Key Achievements
Top Papers
- 1