This paper is published in Volume-6, Issue-5, 2020
Area
Electrical Engineering
Author
Dr. Abhishek Kumar
Org/Univ
RTC Institute of Technology, Anandi, Jharkhand, India
Pub. Date
15 October, 2020
Paper ID
V6I5-1366
Publisher
Keywords
Fuzzy Logic, PID Controller, DC, Membership Function, FLPIDC

Citationsacebook

IEEE
Dr. Abhishek Kumar. Fuzzy logic technique applied in tuning of PID controller to control speed of DC motor, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dr. Abhishek Kumar (2020). Fuzzy logic technique applied in tuning of PID controller to control speed of DC motor. International Journal of Advance Research, Ideas and Innovations in Technology, 6(5) www.IJARIIT.com.

MLA
Dr. Abhishek Kumar. "Fuzzy logic technique applied in tuning of PID controller to control speed of DC motor." International Journal of Advance Research, Ideas and Innovations in Technology 6.5 (2020). www.IJARIIT.com.

Abstract

This paper give solution of tuning technique of PID (Proportional integral derivative) controller by using fuzzy logic technique applied in speed control of DC motor. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are regulate according to fuzzy logic technique. The Fuzzy logic Proportional integral derivative controller (FLPIDC) is designed according to fuzzy rules. Twenty five self tuning rules are programmed for PID controller. Two inputs are applied to PID controller one for speed error actual speed and the second is rate of change in speed error. The Parameter of PID controllers are used to control the speed of the DC Motor. The MATLAB model for speed control of DC motor using fuzzy logic is easy and less calculation required. The results proof that the designed self-tuned PID controller perform optimum speed control of DC motor, compared to conventional PID controller.
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