Identification and Implementation Hybrid Fuzzy Logic and PID Controller for Speed Control of BLDC Motor
Izza Anshory(1),(2), Imam Robandi(2), Wirawan Wirawan(2), Jamaaluddin Jamaaluddin(1),(2)
(1)Department of Electrical Engineering, Universitas Muhammadiyah Sidoarjo, Indonesia
(2)Departmen of Electrical Engineering, Institut Teknologi Sepuluh Nopember (ITS) Surabaya, Indonesia
Abstract
One of the problems in the optimization process in the Brushless Direct Current (BLDC) speed control system is to obtain a mathematical model in the form of a transfer function. The purpose of this study to mathematically model BLDC motors in transfer functions, and optimization using Proportional, Integral and Derivative (PID) controllers, and fuzzy logic to tune PID controller parameters. The first method used is the process of identifying input and output data from the BLDC motor physical system. The input and output data of the test results simulated to form a mathematical model. The mathematical model of BLDC motor used as the basis for carrying out the optimization process with open loop systems, PID controllers, and fuzzy logic. The results of the research on the optimization process of the BLDC motor speed control system with the fuzzy logic methods obtained the best value for rise time value of 1.25 seconds, settling time value of 382.10 seconds, and peak time is 382.2 seconds.
Keywords: Electric bicycle, BLDC motor, system identification, fuzzy logic, PID controller
Topic: Electrical Engineering