Open AccessIdentification parameter system for mathematical modeling BLDC motor using transfer function models
Author(s) -
Izza Anshory,
Ir. Imam Robandi,
Wirawan Wirawan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/821/1/012023
Subject(s) - transfer function , control theory (sociology) , pulse width modulation , matlab , system identification , computer science , identification (biology) , process (computing) , function (biology) , voltage , control engineering , signal (programming language) , dc motor , step response , engineering , data modeling , control (management) , artificial intelligence , botany , database , evolutionary biology , electrical engineering , biology , programming language , operating system
The parameter system identification of Brushless Direct Current (BLDC) motorbike on electric bicycles is one of the important factors that support success in improving a stable and reliable control system. The purpose of this paper is to explain the mathematical modeling of BLDC motors by system identification parameters. The method of system identification parameters used in this study is experimentation, namely the pulse width modulation (PWM) signal generation process and the collection of input data in the form of current, voltage, and output data such as speed is carried out using sensors connected to the microcontroller. The input and output data are then simulated using the transfer function model found in the system identification toolbox in the MATLAB program. From the results of testing and simulations carried out on the BLDC motor system, a mathematical model was obtained in the form of a transfer function with third-order transfer function is the best fit value than the others. The sequential values of the transfer function 1, 2 and 3 are 69.81, -1945, and 83.34.