XSpace: Self-learning platform for implementation of digital control algorithms

Caceres P.C.; Cieza Huane L.Y.; Horna Vilcahuaman I.M.; Pauyac Estrada C.R.; Casano C.D.-L.-C.; Tafur Sotelo J.C. · IEEE Global Engineering Education Conference, EDUCON (2023) · DOI: 10.1109/educon54358.2023.10125187

Resumen

In the electronic engineering undergraduate program, Peruvian universities offer different theoretical courses of Automatic Control that do not present enough practical approach to the algorithms that are studied during the progress of these courses; however, the approach to implementation is very important to achieve good performance in the industry and researching. In this work is presented XSpace, an innovative and friendly platform which consists of a robust hardware that allows the student to take it home; this way, the student is given the opportunity to implement digital control algorithms learned in the theoretical classes. The effectiveness of this platform is shown using a proposed methodology which evidences greater interest, efficiency and efficacy in students at the Automatic Control area. This project was implemented in the 'Control Systems' course at Pontificia Universidad Catolica del Peru (PUCP) from 2020 to 2022. Results are presented through a student survey and a history of average grades during the academic periods the platform was employed.

Instituciones: Pontificia Universidad Católica del Perú