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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings - 2019 5th International Conference on Science and Technology, ICST 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123691
DOIs
Publication statusPublished - Jul 2019
Event5th International Conference on Science and Technology, ICST 2019 - Yogyakarta, Indonesia
Duration: 30 Jul 201931 Jul 2019

Publication series

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

Conference

Conference5th International Conference on Science and Technology, ICST 2019
Country/TerritoryIndonesia
CityYogyakarta
Period30/07/1931/07/19

Keywords

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

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