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All Journal IAES International Journal of Robotics and Automation (IJRA)
Mohd Sabari, Nurul Umiza
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Automotive Engineering Electrical & Electronics Engineering

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Design of a fuzzy logic proportional integral derivative controller of direct current motor speed control Ab Rahman, Nur Naajihah; Mat Yahya, Nafrizuan; Mohd Sabari, Nurul Umiza
IAES International Journal of Robotics and Automation (IJRA) Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v12i1.pp98-107

Abstract

Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot control their speed. To control the DC motor’s speed, a dependable controller is needed. The DC motor speed will be controlled by a fuzzy logic proportional integral derivative controller (FLC-PID). The DC motor circuit’s electrical and mechanical components have been modeled mathematically. Ziegler-Nichols is used to tune the PID controller’s gain parameters. The FLC controller employs 3×3 membership function rules in conjunction with the MATLAB/Fuzzy Simulink toolbox. Real hardware was attached to the simulation to evaluate the DC motor speed control using the fuzzy logic PID controller. DC motors with FLC PID controllers, FLC controllers, and DC motors alone will be compared for the transient response. The DC motor with an FLC PID controller performed better in this study.
Co-Authors Ab Rahman, Nur Naajihah Mat Yahya, Nafrizuan