Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI

Chhith Chhlonh; Dedet Candra Riawan; Heri Suryoatmojo

doi:10.1109/ICST47872.2019.9166418

Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI

Chhith Chhlonh^*
, Dedet Candra Riawan
, Heri Suryoatmojo

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Electric vehicles (EVs) are the best solution for green transportation because of their zero-gas emission. In this paper, rear in-wheel drive using BLDC motor has been studied. Each rear wheel of the EV is driven independently by an electric motor. When the EV drives on a straight road, the speed of each motor is the same. However, on a curved road, the speed of each motor must be different in order to make sure that the EV can be able to turn safely. Therefore, the Ackermann-Jeantand steering model or electronic differential system (EDS) is introduced to compute the reference speed for each rear wheel during steering motion. The fuzzy logic controller is used as a speed controller in this research. The system has included the hysteresis current controller to produce gate signals for the inverter. The results of the simulation are demonstrated on a GUI's interface. The simulations have carried out with four different modes of the EV steering motion. Due to the results, it is illustrated that the control system has driven correctly.

Original language	English
Title of host publication	Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728123691
DOIs	https://doi.org/10.1109/ICST47872.2019.9166418
Publication status	Published - Jul 2019
Event	5th International Conference on Science and Technology, ICST 2019 - Yogyakarta, Indonesia Duration: 30 Jul 2019 → 31 Jul 2019

Publication series

Name	Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019

Conference

Conference	5th International Conference on Science and Technology, ICST 2019
Country/Territory	Indonesia
City	Yogyakarta
Period	30/07/19 → 31/07/19

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Ackermann-Jeantand steering model
BLDC motor
Fuzzy logic controller
GUI
Rear in-wheel drive

Access to Document

10.1109/ICST47872.2019.9166418

Cite this

Chhlonh, C., Riawan, D. C., & Suryoatmojo, H. (2019). Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI. In Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019 Article 9166418 (Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICST47872.2019.9166418

Chhlonh, Chhith ; Riawan, Dedet Candra ; Suryoatmojo, Heri. / Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI. Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019).

@inproceedings{6b80db07fb5d41a2b77266cc3eac67d1,

title = "Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI",

abstract = "Electric vehicles (EVs) are the best solution for green transportation because of their zero-gas emission. In this paper, rear in-wheel drive using BLDC motor has been studied. Each rear wheel of the EV is driven independently by an electric motor. When the EV drives on a straight road, the speed of each motor is the same. However, on a curved road, the speed of each motor must be different in order to make sure that the EV can be able to turn safely. Therefore, the Ackermann-Jeantand steering model or electronic differential system (EDS) is introduced to compute the reference speed for each rear wheel during steering motion. The fuzzy logic controller is used as a speed controller in this research. The system has included the hysteresis current controller to produce gate signals for the inverter. The results of the simulation are demonstrated on a GUI's interface. The simulations have carried out with four different modes of the EV steering motion. Due to the results, it is illustrated that the control system has driven correctly.",

keywords = "Ackermann-Jeantand steering model, BLDC motor, Fuzzy logic controller, GUI, Rear in-wheel drive",

author = "Chhith Chhlonh and Riawan, \{Dedet Candra\} and Heri Suryoatmojo",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 5th International Conference on Science and Technology, ICST 2019 ; Conference date: 30-07-2019 Through 31-07-2019",

year = "2019",

month = jul,

doi = "10.1109/ICST47872.2019.9166418",

language = "English",

series = "Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Chhlonh, C, Riawan, DC & Suryoatmojo, H 2019, Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI. in Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019., 9166418, Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019, Institute of Electrical and Electronics Engineers Inc., 5th International Conference on Science and Technology, ICST 2019, Yogyakarta, Indonesia, 30/07/19. https://doi.org/10.1109/ICST47872.2019.9166418

Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI. / Chhlonh, Chhith; Riawan, Dedet Candra ; Suryoatmojo, Heri.
Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9166418 (Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI

AU - Chhlonh, Chhith

AU - Riawan, Dedet Candra

AU - Suryoatmojo, Heri

PY - 2019/7

Y1 - 2019/7

N2 - Electric vehicles (EVs) are the best solution for green transportation because of their zero-gas emission. In this paper, rear in-wheel drive using BLDC motor has been studied. Each rear wheel of the EV is driven independently by an electric motor. When the EV drives on a straight road, the speed of each motor is the same. However, on a curved road, the speed of each motor must be different in order to make sure that the EV can be able to turn safely. Therefore, the Ackermann-Jeantand steering model or electronic differential system (EDS) is introduced to compute the reference speed for each rear wheel during steering motion. The fuzzy logic controller is used as a speed controller in this research. The system has included the hysteresis current controller to produce gate signals for the inverter. The results of the simulation are demonstrated on a GUI's interface. The simulations have carried out with four different modes of the EV steering motion. Due to the results, it is illustrated that the control system has driven correctly.

AB - Electric vehicles (EVs) are the best solution for green transportation because of their zero-gas emission. In this paper, rear in-wheel drive using BLDC motor has been studied. Each rear wheel of the EV is driven independently by an electric motor. When the EV drives on a straight road, the speed of each motor is the same. However, on a curved road, the speed of each motor must be different in order to make sure that the EV can be able to turn safely. Therefore, the Ackermann-Jeantand steering model or electronic differential system (EDS) is introduced to compute the reference speed for each rear wheel during steering motion. The fuzzy logic controller is used as a speed controller in this research. The system has included the hysteresis current controller to produce gate signals for the inverter. The results of the simulation are demonstrated on a GUI's interface. The simulations have carried out with four different modes of the EV steering motion. Due to the results, it is illustrated that the control system has driven correctly.

KW - Ackermann-Jeantand steering model

KW - BLDC motor

KW - Fuzzy logic controller

KW - GUI

KW - Rear in-wheel drive

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DO - 10.1109/ICST47872.2019.9166418

M3 - Conference contribution

AN - SCOPUS:85091329666

T3 - Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019

BT - Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Science and Technology, ICST 2019

Y2 - 30 July 2019 through 31 July 2019

ER -

Chhlonh C, Riawan DC , Suryoatmojo H. Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI. In Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9166418. (Proceedings - 2019 5th International Conference on Science and Technology, ICST 2019). doi: 10.1109/ICST47872.2019.9166418

Independent speed steering control of rear in-wheel BLDC motor in EV based on fuzzy logic controller in GUI

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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