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
N1 - Publisher Copyright:
© 2019 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=85091329666&partnerID=8YFLogxK
U2 - 10.1109/ICST47872.2019.9166418
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 -