DC Motor System Identification Simulator App for Online Learning of Automatic Control System Subject
10th IEEE Conference on Systems, Process and Control, ICSPC 2022
; : 170-175, 2022.
Article
in English
| Scopus | ID: covidwho-2223129
ABSTRACT
With Online Learning being essential during the COVID-19 pandemic, practical laboratories were forced to be replaced by virtual or remote alternatives. This paper proposes a Simulator App built on MATLAB environment that provides students of introductory Automatic Control System subject a simulated experimental environment to learn system and transfer function identification of DC Motor-Tachogenerator system. The features of the Simulator App are discussed, followed by design of experiments suitable to be carried out using the Simulator App. Experimental results and student feedback show that the Simulator App is a feasible virtual alternative to the physical laboratory experiments. © 2022 IEEE.
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Database:
Scopus
Language:
English
Journal:
10th IEEE Conference on Systems, Process and Control, ICSPC 2022
Year:
2022
Document Type:
Article
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