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Application of Scilab/Xcos for process control applied to chemical engineering educational projects
Author(s) -
Vieira Eros B.,
Busch Wesley F.,
Prata Diego M.,
Santos Lizandro S.
Publication year - 2019
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.22065
Subject(s) - computer science , process (computing) , process control , software engineering , control (management) , robustness (evolution) , pid controller , benchmark (surveying) , principal (computer security) , software , work in process , systems engineering , control engineering , industrial engineering , engineering management , engineering , temperature control , programming language , operating system , biochemistry , chemistry , operations management , geodesy , artificial intelligence , gene , geography
The study of process control applied to chemical engineering problems can be significantly improved by the use of simulation packages. However, it has been noted that few works have been focusing on elucidation of the use of open source packages for academic projects on process control. In fact, there is few online discussion groups aimed to the application of Xcos® package for chemical engineering projects. Given this, this work aims to apply the Xcos® for studying the implementation of the process control theory applied to chemical engineering projects, focusing on the development of control loops block diagrams, PID control tuning, and process response analysis. The purpose of the application is developing a virtual environment for academic discussion and repository of examples. The results of two benchmark case studies are illustrated, showing that the problems can be easily modified, allowing the student to solve other similar examples for future applications. For the first case, the settling time ranged from 24.067 to 72.492 min, while for the second case the stabilization time ranged from 5.301 to 20.904 min.The results evidence that the Xcos® software can be widely applied by the academic community, due to its simplicity and robustness in demonstrating the principal aspects of control theory.