TY - GEN
T1 - PID-based Fuzzy Logic Theory Implementation on BLDC Motor Speed Control
AU - Umam, Musa Khairul
AU - Hasanah, Rini Nur
AU - Nurwati, Tri
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - A BLDC motor is an electronically commutated synchronous motor that uses a permanent magnet rotor and direct current (DC) electricity as its power source. The implementation of a conventional PID controller on the motor under dynamic load condition produces quite long steady-state response and poor performance. An improvement is proposed by combining the PID control method with fuzzy logic theory. This research was conducted through the simulation of the BLDC motor drive system implementing fuzzy-PID controller. Using the transfer function of the motor, the controller design process was performed by exploiting the Ist Ziegler-Nichols method. Some scenarios have been simulated by changing the speed and torque parameters. The evolution of the related values until nominal condition has been observed. The values of settling-time Ts, maximum overshoot Mp, output torque, current, back EMF, and output power were recorded. A comparison has been made to the use of conventional PID controller. The results show that the fuzzy-PID method excels the conventional method in terms of recovery time.
AB - A BLDC motor is an electronically commutated synchronous motor that uses a permanent magnet rotor and direct current (DC) electricity as its power source. The implementation of a conventional PID controller on the motor under dynamic load condition produces quite long steady-state response and poor performance. An improvement is proposed by combining the PID control method with fuzzy logic theory. This research was conducted through the simulation of the BLDC motor drive system implementing fuzzy-PID controller. Using the transfer function of the motor, the controller design process was performed by exploiting the Ist Ziegler-Nichols method. Some scenarios have been simulated by changing the speed and torque parameters. The evolution of the related values until nominal condition has been observed. The values of settling-time Ts, maximum overshoot Mp, output torque, current, back EMF, and output power were recorded. A comparison has been made to the use of conventional PID controller. The results show that the fuzzy-PID method excels the conventional method in terms of recovery time.
KW - BLDC Motor
KW - Fuzzy Logic controller
KW - PID controller
KW - PID Fuzzy controller
UR - https://www.scopus.com/pages/publications/85137850547
U2 - 10.1109/ISITIA56226.2022.9855291
DO - 10.1109/ISITIA56226.2022.9855291
M3 - Conference contribution
AN - SCOPUS:85137850547
T3 - 2022 International Seminar on Intelligent Technology and Its Applications: Advanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding
SP - 407
EP - 412
BT - 2022 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Y2 - 20 July 2022 through 21 July 2022
ER -