Optimal Tuning of Fuzzy Logic Controller Based Speed Control of DC Motor

  • Mohsin Ali Koondhar Department of Electrical Engineering, QUEST, Nawabshah, Pakistan.
  • Muhammad Usman Keerio Department of Electrical Engineering, QUEST, Nawabshah, Pakistan.
  • Rameez Akbar Talani Department of Electrical Engineering, QUEST, Nawabshah, Pakistan.
  • Kamran Ahmed Samo Department of Electrical Engineering, QUEST Campus Larkana, Pakistsan.
  • Muhammad Shahzad Bajwa Department of Electrical Engineering, QUEST, Nawabshah, Pakistan.
  • Noor Hussain Mugheri Department of Electrical Engineering, QUEST, Nawabshah, Pakistan.
  • Irfan Ai Channa Department of Automation, Beijing University Chemical Technology, Beijing, China
Keywords: DC motor, Tuning methods, Fuzzy Logic Controller, Speed Control

Abstract

Fuzzy logic controller (FLC) has become popular in the speed control application of DC motors with automatic adjustment function. In this article, the performance of a specific FLC controlled DC motor is studied. The exceed speed is observed with a stabilization time, thus confirming the FLC behavior. Therefore, FLC must be set to obtain the required performance by applying appropriate expert rules, the minimum overshoot and installation time can be maintained within the required values. With the help of FLC, the manual adjustment function is gradually eliminated, and the intelligent adjustment function is at the center position, and the performance is satisfactory. FLC DC motor speed control is implemented in MATLAB environment. The results show that the FLC method has the smallest bypass, smallest transient and steady-state error, and shows higher FLC efficiency as compared with other conventional controllers.

Published
2021-06-30
How to Cite
Koondhar, M. A., Keerio, M. U., Talani, R. A., Samo, K. A., Bajwa, M. S., Mugheri, N. H., & Channa, I. A. (2021). Optimal Tuning of Fuzzy Logic Controller Based Speed Control of DC Motor. Quaid-E-Awam University Research Journal of Engineering, Science & Technology, Nawabshah., 19(1), 77-80. https://doi.org/10.52584/QRJ.1901.11

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