Genetic Algorithm Tuned PID Controller for Rotor Position Control of BLDC Motor

Main Authors: M. John Prabu, P. Poongodi, K. Premkumar
Format: Article eJournal
Bahasa: ang
Terbitan: , 2017
Subjects:
Online Access: https://zenodo.org/record/3544415
Daftar Isi:
  • In this paper rotor position of the BLDC motor controlled using PID controller. The Proportional gain (KP), Integral gain (KI), Derivative gain (Kd) of the PID controller are tuned using evolutionary algorithms. Since, classical controllers PID are failing to control the drive when weight parameters are also changed. The main aim of this paper is to analyze the implementation of Genetic Algorithm (GA) for optimize PID controllers parameters for rotor position control of BLDC motor with three objective function integral of absolute error (IAE), mean squared error (MSE) and IAE+MSE. The genetic algorithm were implemented and analyzed on a second order plant model of a BLDC motor with the aim of developing a rotor position controller. The results obtained from GA algorithms were compared with considered objective functions. It was found that the Genetic Algorithm with objective IAE+MSE outperformed other considered objective functions.