Wibowo, Bayu Prasetyo (2014) Traction Control Pada Parallel Hybrid Electric Vehicle (HEV) Dengan Menggunakan Metode Kontrol Neuro-Fuzzy Prediktif. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penggunaan bahan bakar minyak untuk kendaraan bermotor yang semakin meningkat menyebabkan semakin menurunnya stok bahan bakar minyak di dunia. Hal ini menyebabkan terjadinya krisis energi di dunia.Selainitu, semakin banyaknya penggunaan bahan bakar minyak pada kendaraan bermotor menyebabkan semakin meningkatnya polusi udara. Polusi yang dihasilkan oleh kendaraan bermotor akan menyebabkan global warming sehingga suhu di atmosfer bumi akan meningkat. Dalam upaya menanggulangi krisis energi dan bahaya global warming yang dihasilkan oleh kendaraan bermotor, maka diciptakan suatu kendaraan alternatif yang hemat energi dan ramah lingkungan yang disebut Hybrid Electric Vehicle (HEV). HEV merupakan suatu kendaraan yang menggunakan Internal Combustion Engine (ICE) dan motor listrik sebagai motor penggeraknya. Salah satu permasalahan yang masih terjadi pada HEV yaitu akselerasi. Kontroler Neuro-Fuzzy Prediktif digunakan untuk mengatur kecepatan motor DC ketika proses akselerasi HEV. Berdasarkan hasil pengujian didapatkan respon kecepatan HEV dapat mencapai model referensi yang diberikan pada t = 0,051 s sehingga dapat disimpulkan kontroler Neuro-Fuzzy Prediktif dapat mempercepat akselerasi pada HEV. ========== The use of fuel for vehicles has increased causing the decreasing stocks of fuel oil in the world. This leads to the energy crisisin the world. In addition, the increasing use of fuel in vehicles used an increasing of air pollution. Pollution produced by vehicles so that global warming will cause temperatures to increase in the Earth's atmosphere. In an effort to overcome the energy crisis and global warming dangers generated by vehicles, then created an alternative vehicle that is energy efficient and environmentally friendly called Hybrid Electric Vehicle (HEV). HEV is a vehicle that uses the Internal Combustion Engine (ICE) and an electric motor as the driving motor. One of the problems that still exist in the HEV is acceleration. Therefore, designed a Neuro-Fuzzy Predictive controller to control the speed of a DC motor in order to obtain the desired performance. By applying Neuro-Fuzzy Predictive controller in HEV, the results obtained are in accordance with the desired performance.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 629.258 Wib t |
| Uncontrolled Keywords: | Akselerasi, HEV, Motor DC, Neuro-fuzzy prediktif |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ217 Adaptive control systems T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL220 Electric vehicles and their batteries, etc. |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | - Davi Wah |
| Date Deposited: | 28 Jun 2019 03:36 |
| Last Modified: | 28 Jun 2019 03:36 |
| URI: | http://repository.its.ac.id/id/eprint/63095 |
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