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DC motor speed regulation using speech recognition

One of the uses of this sound technology is controlling the speed of a DC motor. Sound in the form of a spectrum signal can be converted to digital. Digital signals can be used as microcontoler input to adjust the speed of a DC motor using the PWM (pulse width modulation) m...

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Main Authors: Firda, Andriyan, Wahyu, Sapto Aji
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2021
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/33438/1/DC%20motor%20speed%20regulation%20using%20speech%20recognition_FULL.pdf
http://umpir.ump.edu.my/id/eprint/33438/
https://doi.org/10.12928/biste.v3i1.1751
https://doi.org/10.12928/biste.v3i1.1751
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spelling my.ump.umpir.334382023-12-19T07:00:43Z http://umpir.ump.edu.my/id/eprint/33438/ DC motor speed regulation using speech recognition Firda, Andriyan Wahyu, Sapto Aji TK Electrical engineering. Electronics Nuclear engineering One of the uses of this sound technology is controlling the speed of a DC motor. Sound in the form of a spectrum signal can be converted to digital. Digital signals can be used as microcontoler input to adjust the speed of a DC motor using the PWM (pulse width modulation) method. The design of the tool uses the V3 voice recognition module to convert the voice into digital. Microcontroller as a voice data processor by changing the input voltage to a DC motor. Voice command to set DC motor speed. Based on the results of tests carried out in good environmental conditions, 90% of voice commands can be recognized. Meanwhile, in bad environmental conditions by 50%. Manual measurement is done by entering the input voltage from 1 volt to 10 volts. The results of the comparison show that the speed is almostthe same, namely 2727 rpm for manual calculation and 2915 rpm for the whole tool. This difference occurs because the test when manually inputting the tension is not very accurate. It can be concluded that the tool is working properly and as desired. If the environmental conditions are bad only 50% can be recognized from 30 voice commands, then there is a difference in voice intonation during the training process. Universitas Ahmad Dahlan 2021 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/33438/1/DC%20motor%20speed%20regulation%20using%20speech%20recognition_FULL.pdf Firda, Andriyan and Wahyu, Sapto Aji (2021) DC motor speed regulation using speech recognition. Buletin Ilmiah Sarjana Teknik Elektro, 3 (1). pp. 41-49. ISSN 2685-9572. (Published) https://doi.org/10.12928/biste.v3i1.1751 https://doi.org/10.12928/biste.v3i1.1751
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Firda, Andriyan
Wahyu, Sapto Aji
DC motor speed regulation using speech recognition
description One of the uses of this sound technology is controlling the speed of a DC motor. Sound in the form of a spectrum signal can be converted to digital. Digital signals can be used as microcontoler input to adjust the speed of a DC motor using the PWM (pulse width modulation) method. The design of the tool uses the V3 voice recognition module to convert the voice into digital. Microcontroller as a voice data processor by changing the input voltage to a DC motor. Voice command to set DC motor speed. Based on the results of tests carried out in good environmental conditions, 90% of voice commands can be recognized. Meanwhile, in bad environmental conditions by 50%. Manual measurement is done by entering the input voltage from 1 volt to 10 volts. The results of the comparison show that the speed is almostthe same, namely 2727 rpm for manual calculation and 2915 rpm for the whole tool. This difference occurs because the test when manually inputting the tension is not very accurate. It can be concluded that the tool is working properly and as desired. If the environmental conditions are bad only 50% can be recognized from 30 voice commands, then there is a difference in voice intonation during the training process.
format Article
author Firda, Andriyan
Wahyu, Sapto Aji
author_facet Firda, Andriyan
Wahyu, Sapto Aji
author_sort Firda, Andriyan
title DC motor speed regulation using speech recognition
title_short DC motor speed regulation using speech recognition
title_full DC motor speed regulation using speech recognition
title_fullStr DC motor speed regulation using speech recognition
title_full_unstemmed DC motor speed regulation using speech recognition
title_sort dc motor speed regulation using speech recognition
publisher Universitas Ahmad Dahlan
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/33438/1/DC%20motor%20speed%20regulation%20using%20speech%20recognition_FULL.pdf
http://umpir.ump.edu.my/id/eprint/33438/
https://doi.org/10.12928/biste.v3i1.1751
https://doi.org/10.12928/biste.v3i1.1751
_version_ 1822923954254249984
score 13.232414

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