eprintid: 19865
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/98/65
datestamp: 2024-06-04 14:19:36
lastmod: 2024-06-04 14:19:36
status_changed: 2024-06-04 14:16:04
type: article
metadata_visibility: show
creators_name: Anshory, I.
creators_name: Jamaaluddin, J.
creators_name: Wisaksono, A.
creators_name: Sulistiyowati, I.
creators_name: Hindarto, 
creators_name: Rintyarna, B.S.
creators_name: Fudholi, A.
creators_name: Rahman, Y.A.
creators_name: Sopian, K.
title: Optimization DC-DC boost converter of BLDC motor drive by solar panel using PID and firefly algorithm
ispublished: pub
keywords: AC motors; Bioluminescence; Boost converter; Brushless DC motors; Electric drives; Electric machine control; Maximum power point trackers; Optimization; Proportional control systems; Solar concentrators; Solar energy; Solar panels; Solar power generation; Transient analysis; Two term control systems,  reductions; Brushless direct current motor; Converter circuits; Dc - dc boost converters; Firefly algorithms; Optimisations; Proportional-integral-derivatives controllers; Settling time; Solar panels; Voltage fluctuations, Three term control systems
note: cited By 2
abstract: The use of solar photovoltaic panels as source of power for Brushless Direct Current (BLDC) motors requires a DC-DC Converter circuit. One application of solar energy is as a power source for Brushless Direct Current (BLDC) motors. The main problem is the voltage fluctuation and low DC voltage generated by the solar panel. This research aims to improve the performance of the DC-DC Boost Converter circuit and minimize voltage fluctuations. The methodology encompasses mathematical modeling of the circuit in the form of transfer functions and optimizing the DC-DC Boost Converter circuit using the Proportional Integral Derivative (PID) controller and the Firefly algorithm. Simulation testing results indicate an improvement in transient response performance of the DC-DC Converter circuit as a driver for the BLDC motor. This is evidenced by an increase in rise time from 499 s to 820 s, a decrease in settling time from 3.33 e+03 s to 2.07e+03 s, and a reduction in overshoot to 0  from previously 11.4 . The utilization of the firefly algorithm in optimization significantly enhances system efficiency, as demonstrated by faster achievement of stability without excessive oscillation and a reduction in the time required for the system to settle. Overall, this study shows that the firefly algorithm is effective in developing DC-DC Boost Converter circuits, improving system efficiency by reducing settling time and eliminating overshoot. These findings provide empirical evidence of the effectiveness of using artificial intelligence algorithms in enhancing the operational efficiency of energy conversion systems. © 2024 The Authors
date: 2024
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183436028&doi=10.1016%2fj.rineng.2023.101727&partnerID=40&md5=2911a9a36c8a6a4d2cd3c8328f16d61c
id_number: 10.1016/j.rineng.2023.101727
full_text_status: none
publication: Results in Engineering
volume: 21
refereed: TRUE
citation:   Anshory, I. and Jamaaluddin, J. and Wisaksono, A. and Sulistiyowati, I. and Hindarto and Rintyarna, B.S. and Fudholi, A. and Rahman, Y.A. and Sopian, K.  (2024) Optimization DC-DC boost converter of BLDC motor drive by solar panel using PID and firefly algorithm.  Results in Engineering, 21.