Open AccessOptimal Tuning of Fuzzy Logic Controller Based Speed Control of DC Motor
Author(s) -
Mohsin Ali Koondhar,
Muhammad Usman Keerio,
Rameez A. Talani,
Kamran Ali Samo,
Muhammad Shahzad Bajwa,
Noor Hussain Mugheri,
Irfan Ali Channa
Publication year - 2021
Publication title -
quaid-e-awam university research journal of engineering science and technology
Language(s) - English
Resource type - Journals
eISSN - 2523-0379
pISSN - 1605-8607
DOI - 10.52584/qrj.1901.11
Subject(s) - overshoot (microwave communication) , control theory (sociology) , dc motor , transient (computer programming) , computer science , fuzzy logic , controller (irrigation) , electronic speed control , matlab , position (finance) , steady state (chemistry) , function (biology) , set (abstract data type) , control engineering , control (management) , engineering , artificial intelligence , telecommunications , agronomy , chemistry , finance , evolutionary biology , electrical engineering , economics , biology , operating system , programming language
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.