Application of Artificial Neural Network for Speed Control of BLDC Motor 90KW in Electrical Bus

Feby Agung Pamuji; kharisma Julieta Prihantari; Dedet Candra Riawan; Dimas Anton Asfani; Heri Suryoatmojo; Harus L. Guntur; BAMBANG SUDARMANTA; Nurvita Arumsari

doi:10.15199/48.2022.02.47

Application of Artificial Neural Network for Speed Control of BLDC Motor 90KW in Electrical Bus

Feby Agung Pamuji, kharisma Julieta Prihantari, Dedet Candra Riawan, Dimas Anton Asfani, Heri Suryoatmojo, Harus L. Guntur, BAMBANG SUDARMANTA, Nurvita Arumsari

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

There are many research on electric vehicles to reduce environmental pollution due to vehicles that use fossil fuels. The advantages of using a BLDC motor are high efficiency, high torque, reduced noise, long lifetime, and easy maintenance. Using of BLDC motors in electric vehicles is sometimes not optimal due to varying set points and presence of loads. Then a speed motor is needed to be controlled so the motor can work properly. In this research using the Artificial Neural Network (ANN) method. The ANN on this speed controller is practical as a 3-phase inverter input voltage control so the speed of BLDC motor can match the set point. In the simulation in this research, controlled based ANN is applied to electric buses with large torque, from the simulation it can be seen that Controlled based ANN can work well.

Original language	English
Pages (from-to)	203-210
Number of pages	8
Journal	Przeglad Elektrotechniczny
Volume	98
Issue number	2
DOIs	https://doi.org/10.15199/48.2022.02.47
Publication status	Published - 2022

Keywords

Artificial Neural Network (ANN)
Brushless DC Motor (BLDC)
Electric Vehicle

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.15199/48.2022.02.47

Cite this

@article{ecb9da4aac5745998cb6a6f7bfadd5f7,

title = "Application of Artificial Neural Network for Speed Control of BLDC Motor 90KW in Electrical Bus",

abstract = "There are many research on electric vehicles to reduce environmental pollution due to vehicles that use fossil fuels. The advantages of using a BLDC motor are high efficiency, high torque, reduced noise, long lifetime, and easy maintenance. Using of BLDC motors in electric vehicles is sometimes not optimal due to varying set points and presence of loads. Then a speed motor is needed to be controlled so the motor can work properly. In this research using the Artificial Neural Network (ANN) method. The ANN on this speed controller is practical as a 3-phase inverter input voltage control so the speed of BLDC motor can match the set point. In the simulation in this research, controlled based ANN is applied to electric buses with large torque, from the simulation it can be seen that Controlled based ANN can work well.",

keywords = "Artificial Neural Network (ANN), Brushless DC Motor (BLDC), Electric Vehicle",

author = "Pamuji, {Feby Agung} and Prihantari, {kharisma Julieta} and Riawan, {Dedet Candra} and Asfani, {Dimas Anton} and Heri Suryoatmojo and Guntur, {Harus L.} and BAMBANG SUDARMANTA and Nurvita Arumsari",

year = "2022",

doi = "10.15199/48.2022.02.47",

language = "English",

volume = "98",

pages = "203--210",

journal = "Przeglad Elektrotechniczny",

issn = "0033-2097",

publisher = "Wydawnictwo SIGMA - N O T Sp. z o.o.",

number = "2",

}

TY - JOUR

T1 - Application of Artificial Neural Network for Speed Control of BLDC Motor 90KW in Electrical Bus

AU - Pamuji, Feby Agung

AU - Prihantari, kharisma Julieta

AU - Riawan, Dedet Candra

AU - Asfani, Dimas Anton

AU - Suryoatmojo, Heri

AU - Guntur, Harus L.

AU - SUDARMANTA, BAMBANG

AU - Arumsari, Nurvita

PY - 2022

Y1 - 2022

N2 - There are many research on electric vehicles to reduce environmental pollution due to vehicles that use fossil fuels. The advantages of using a BLDC motor are high efficiency, high torque, reduced noise, long lifetime, and easy maintenance. Using of BLDC motors in electric vehicles is sometimes not optimal due to varying set points and presence of loads. Then a speed motor is needed to be controlled so the motor can work properly. In this research using the Artificial Neural Network (ANN) method. The ANN on this speed controller is practical as a 3-phase inverter input voltage control so the speed of BLDC motor can match the set point. In the simulation in this research, controlled based ANN is applied to electric buses with large torque, from the simulation it can be seen that Controlled based ANN can work well.

AB - There are many research on electric vehicles to reduce environmental pollution due to vehicles that use fossil fuels. The advantages of using a BLDC motor are high efficiency, high torque, reduced noise, long lifetime, and easy maintenance. Using of BLDC motors in electric vehicles is sometimes not optimal due to varying set points and presence of loads. Then a speed motor is needed to be controlled so the motor can work properly. In this research using the Artificial Neural Network (ANN) method. The ANN on this speed controller is practical as a 3-phase inverter input voltage control so the speed of BLDC motor can match the set point. In the simulation in this research, controlled based ANN is applied to electric buses with large torque, from the simulation it can be seen that Controlled based ANN can work well.

KW - Artificial Neural Network (ANN)

KW - Brushless DC Motor (BLDC)

KW - Electric Vehicle

UR - http://www.scopus.com/inward/record.url?scp=85124300931&partnerID=8YFLogxK

U2 - 10.15199/48.2022.02.47

DO - 10.15199/48.2022.02.47

M3 - Article

AN - SCOPUS:85124300931

SN - 0033-2097

VL - 98

SP - 203

EP - 210

JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

IS - 2

ER -

Application of Artificial Neural Network for Speed Control of BLDC Motor 90KW in Electrical Bus

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this