Utama, Yoga Alif Kurnia (2015) Desain Fuzzy Disturbance Observer Dengan Neuro-Fuzzy Invers Model Untuk Pengendalian Kecepatan Parallel Hybrid Electric Vehicle. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada dekade terakhir, terdapat banyak kendaraan transportasi yang menggunakan
Internal Combustion Engine (ICE). Hal ini menimbulkan dampak serius pada
lingkungan karena emisi gas polutan yang dikeluarkannya. Salah satu solusi
adalah penggunaan hybrid elecric vehicle (HEV) sebagai pengganti dari
kendaraan yang menggunakan ICE. Salah satu performa yang harus dimiliki oleh
HEV adalah memiliki kecepatan yang tetap saat melaju di atas jalan raya. Jalan
raya yang tidak rata akan menyebabkan gangguan pada HEV sehingga
kecepatannya menjadi tidak tetap. Pada penelitian ini, metode fuzzy disturbance
observer digunakan untuk menolak gangguan yang diterima HEV yang
dikarenakan oleh jalan yang tidak rata. Neuro-fuzzy invers model digunakan
sebagai komponen invers model dalam disturbance observer dimana memiliki
kelebihan dalam menggambarkan invers model pada plant tanpa membuat model
matematikanya. Pengujian dilakukan dengan membandingkan antara dua metode
kontrol yaitu fuzzy dan fuzzy disturbance observer pada enam tipe model jalan
yang berbeda. Hasil simulasi menunjukkan bahwa metode fuzzy disturbance
observer dengan neuro-fuzzy invers model dapat menolak disturbance yang
dikarenakan oleh jalan raya yang tidak rata dan dapat mempertahankan
kecepatannya.
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In the last decade, there are a lot of transportation vehicles that use Internal
Combustion Engine (ICE). They make serious problem to natural environment
that caused by gas emissions pollutant which produces from them. One of many
solutions is using Hybrid Elecric Vehicle (HEV) as replacement of ICE system in
the vehicles. One of the performance that must be have in HEV is having a steady
speed while driving down on the road. Bumpy road would cause a disturbance in
HEV so that the speed of HEV will not steady. In this research, fuzzy disturbance
observer method use to reject the disturbance of HEV that caused by bumpy road.
Neuro-fuzzy inverse model use as a component of the inverse model in
disturbance observer which has advantages that can describe the inverse model
without make a mathematic model. Testing will compare between two controllers,
those are fuzzy and fuzzy disturbance observer in six kind of road models. The
simulation results show that the method of fuzzy disturbance observer with neurofuzzy inverse model can reject the disturbance that caused by bumpy road and
maintain its speed.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTE 629.229 3 Uta d |
| Uncontrolled Keywords: | Parallel Hybrid Electric Vehicle, Fuzzy Control, Disturbance Observer, Neuro-Fuzzy Invers Model |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL220 Electric vehicles and their batteries, etc. |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Yeni Anita Gonti |
| Date Deposited: | 13 Mar 2020 08:43 |
| Last Modified: | 16 Mar 2020 15:14 |
| URI: | http://repository.its.ac.id/id/eprint/75483 |
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