Electrician : Jurnal Rekayasa dan Teknologi Elektro
Vol. 18 No. 1 (2024)

Perbandingan Performansi Antara Differential Evolution dan Bat Algorithm pada Tuning PID Untuk Optimasi Kontrol Kecepatan Paralell Hybrid Electric Vehicle

Simson, Simson (Unknown)



Article Info

Publish Date
31 Jan 2024

Abstract

In the last decade, there have been many means of transportation that use fuel oil (Internal Combustion Engine (ICE)). This has a serious impact on the environment due to the emission of pollutant gases. One solution is the use of a hybrid electric vehicle (HEV) as a substitute for vehicles that use ICE. One of the performance that must be owned by the HEV is to have a stable speed when driving. In this study, several methods used in the metaheuristic algorithm in the disturbance observer have the advantage of describing the inverse model of the plant without making a mathematical model. The test is carried out by comparing the two methods of the metaheuristic algorithm, namely Differential Evolution and Bat Algirthm. The simulation results show that the method used in this HEV is to maintain its speed, so according to the test results it shows that the Differential Evolution method is the best method for controlling the speed of the Parallel Hybrid Electric Vehicle.

Copyrights © 2024






Journal Info

Abbrev

ojs

Publisher

Subject

Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

Focus and Scope Publication of scientific research results in the field of electrical engineering which covers: ~ Power system analysis ~ Electrical energy conversion ~ High voltage technology ~ Electronics ~ Control system ~ Telecommunication system ~ Computer and interfacing ~ Information ...