Armiyanto, Sigit (2019) Analisis dan Implementasi Kontrol Kecepatan BLDC Motor Menggunakan Fuzzy Logic Controller pada Roda Depan EV. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Berkembangnya kendaraan yang menggunakan bahan bakar fossil mengakibatkan lingkungan menjadi semakin tercemar dan berdampak pada kesehatan manusia. Banyak penelitian telah dikembangkan mengenai electric kendaraan, terutama pada komponen penggerak yang menyebabkan kerugian mekanis selama mode operasi. Seperti yang diketahui bahwa sisitem penggerak pada kendaraan mempunyai model yang berbeda-beda, diantaranya adalah FF (Front engine-Front wheel drive), FR (Front engine-Rear wheel drive), MRW (Mid engine-Rear wheel drive), dan FWD/AWD (Four wheel drive / All wheel drive). Namun sistem pengerak masih menggunakan gearbox. Hal ini menyebabkan kerugian mekanis yang berdampak pada menurunnya efisiensi bahan bakar. Belakangan mulai dikembangkan system penggerak tanpa gearbox melainkan dengan steering motor Brushless DC. Steering yang digunakan yaitu menggunakan parameter kecepatan dan sudut. Sudut merupakan referensi mobil berjalan, saat dalam jalan lurus atau berbelok. Metode kontrol kecepatan motor Brushless DC menggunakan Pulse width modulation dan feedback kecepatan aktual roda dengan kontrol fuzzy-logic. Dengan fuzzy-logic maka kecepatan roda kanan dan kiri dapat diatur berjalan dengan kondisi yang diinginkan. Implementasi dari simulasi yang telah dilakukan pada tesis sebelumnya menampilkan data yang mendekati sama dengan hasil simulasi. Namun, masih terdapat eror dalam sensor pembacaan kecepatan aktual sehingga menyebabkan feedback eror yang dibandingkan dengan referensi menjadi besar. Hal ini mengakibatkan putaran roda mengalami nilai yang berubah-ubah. Dalam penelitian eror yang diakibatkan berkisar antara 0.2-1%.
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The development of vehicles using fossil fuels has resulted in the environment becoming increasingly polluted and affecting human health. Many studies have been developed regarding electric vehicles, especially in driving components that cause mechanical losses during operation mode. As is known that the driving system in vehicles has different models, including FF (Front engine-Front wheel drive), FR (Front engine-Rear wheel drive), MRW (Mid engine-Rear wheel drive), dan FWD/AWD (Four wheel drive / All wheel drive). But the driver system still uses the gearbox. This causes mechanical losses that have an impact on decreasing fuel efficiency. Later began to develop a drive system without a gearbox but with a Brushless DC steering motor. Steering used is using the speed and angle parameters. The angle is the reference for the car to run, when on a straight road or turn. The Brushless DC motor speed control method uses PWM and actual wheel speed feedback with fuzzy-logic controls. With fuzzy-logic, the right and left wheel speeds can be set to run with the desired condition. This implementation from the simulations that have been carried out in the previous thesis displays data that is close to the simulation results. However, there is still an error in the actual speed from speed sensor which causes a large error feedback compared to the reference speed. This resulted in the wheel turning experiencing variable values. In the study errors caused ranged from 0.2 - 1%.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSE 621.46 Arm a-1 2019 |
| Uncontrolled Keywords: | Motor Brushless DC, Fuzzy-Logic, PWM, Steering |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2681.B47 Electric motors, Direct current. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction. |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Sigit Armiyanto |
| Date Deposited: | 13 Mar 2023 03:23 |
| Last Modified: | 13 Mar 2023 03:23 |
| URI: | http://repository.its.ac.id/id/eprint/63630 |
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