abstract
- This paper presents a training framework using the Fiber Extrusion Device (FrED) from MIT to enhance manufacturing process education and strengthen the connection between control theory and practical implementation. A common challenge in engineering education is that students often struggle to relate theoretical concepts to real-world systems. This work addresses that gap through an integrated experimental approach. The framework links academic learning with industrial practice by guiding participants through data acquisition, system identification, and PID controller design using FrED's actuator. Experimental data are modeled with the least squares method to obtain a second order transfer function, allowing learners to observe how parameter estimation and gain tuning influence system behavior. Using MATLAB and Python for analysis and implementation, the methodology improves both conceptual understanding and practical competence, contributing to workforce development in smart manufacturing.