Pengaturan Akselarasi Di Simulator Parallel Hybrid Electric Vehicle Menggunakan Metode Anfis

Nuris, Yoga Septefa (2014) Pengaturan Akselarasi Di Simulator Parallel Hybrid Electric Vehicle Menggunakan Metode Anfis. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Parallel Hybrid Electric Vehicle (PHEV) merupakan kendaraan yang menggabungkan kerja Internal Combustion Engine (ICE) dan motor DC. Penggabungan ini dilakukan dengan menghubungkan poros ICE dan poros motor DC dengan sistem roda gerigi. Dengan konfigurasi ini, ketika ICE melakukan proses akselarasi dengan keadaan motor DC tidak bekerja akan menyebabkan respon Internal Combustion Engine (ICE) menjadi lambat karena motor DC akan menjadi beban. Oleh karena itu, dibutuhkan suatu pengaturan untuk membuat motor DC bekerja saat keadaan akselarasi. Pengaturan motor DC bertujuan agar motor DC bekerja berdasarkan selisih model referensi PHEV dan model ICE.Kontroler Adaptive Neuro Fuzzy Inference System (ANFIS) akan digunakan untuk mengatur kecepatan motor DC pada keadaan akselarasi. Dengan nilai learning rate sebesar 0,5 dan jumlah maksimal epoh sebesar 5. Pada pengujian simulasi didapatkan respon kecepatan PHEV dapat mencapai model referensi pada t = 0,626 s, dan lebih cepat daripada respon ICE yang dapat mencapai model referensi pada t = 1,93 s. Sedangkan pada pengujian implementasi respon PHEV lebih cepat t = 0,05 s.Dari hasil pengujian, sehingga disimpulkan bahwa kontoler ANFIS dapat digunakan untuk pengaturan akselarasi PHEV.
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Parallel Hybrid Electric Vehicle (PHEV) is a vehicle which combine Internal Combustion Engine(ICE)’s work and DC motor’s work . This combination is done by connecting ICE’s shaft and DC motor’s shaft with gear system .With this configuration, when PHEV at acceleration mode with motor DC isn’t active, it will bring ICE’s response is more slow because motor DC is a load this condition. So,we need controlling DC motor to make it works when acceleration mode .The aim of controlling DC motor will be based on difference between reference model and ICE’s model. Adaptive Neuro Fuzzy Inference System (ANFIS ) controller will be used to control DC motor’s speed at acceleration mode. With the value of learning rate is 0.5 and maximum epoh at 5. The result obtain the response of the PHEV’s speed can achieve reference model at t = 0.626 s, and faster than ICE’s which can achieve reference model at t =1.93 s. The result of implementation test indicate that PHEV can be faster from ICE about 0.05 s. From the test results, so it is concluded that ANFIS kontoler can be used for PHEV acceleration.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Akselarasi, ANFIS, Parallel Hybrid Electric Vehicle. Accelaration, ANFIS, Parallel Hybrid Electric Vehicle
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.543 Routers (Computer networks)
Divisions:	Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Eko Sulistiono
Date Deposited:	18 Sep 2025 07:34
Last Modified:	18 Sep 2025 07:34
URI:	http://repository.its.ac.id/id/eprint/128304

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