Authors:
T. R. Melo
1
;
L. C. Silva
2
;
A. Perkusich
3
;
J. J. Silva
3
and
J. S. Rocha Neto
3
Affiliations:
1
Post-Graduate Program in Electrical Engineering - PPgEE - COPELE, Brazil
;
2
Embedded Systems and Computer Pervasive Laboratory (Embedded Lab), Brazil
;
3
Federal University of Campina Grande (UFCG), Brazil
Keyword(s):
Simulation Models, Didactic Platform, Decentralized Multi-loop Control System, Simulink, Ptolemy.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial, Financial and Medical Applications
;
Learning/Teaching Methodologies and Assessment
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Project Based Learning and Engineering Education
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
This paper describes the usage of the Matlab/Simulink and Ptolemy II environments as learning tools in the implementation of simulation models, which represent the decentralized multi-loop control system proposed for a fouling detection didactic platform. The platform is treated as a two-input two-output (TITO) plant with time delay, i.e., the voltage and current as the plant inputs and the flow and pressure as the plant outputs. In both the software environments, the control system is modeled as a cyber-physical system (CPS). Constructive details of each simulation model are shown, even as the main advantages and disadvantages of each learning tool are discussed and evaluated by engineering students.