Wicaksono, Agung Setyadi (2016) Perancangan Dan Implementasi Sistem Pengaturan Kecepatan Motor BLDC Menggunakan Kontroler Pi Berbasiskan Neural Fuzzy Hibrida Adaptif. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Mobil listrik menjadi inovasi terbaru dengan tujuan utama untuk
melepaskan ketergantungan pada bahan bakar minyak. Penelitian yang
telah ada memaparkan bahwa motor listrik yang sesuai untuk
menggerakkan mobil listrik adalah motor Brushless Direct Current
(BLDC). Beberapa keunggulan motor BLDC antara lain adalah suara
halus, ukuran kompak, torsi besar, efisiensi tinggi, memiliki umur pakai
yang panjang, dan mudah dikontrol. Performa dan kecepatan motor
BLDC dapat terganggu apabila bekerja pada kondisi berbeban. Oleh
karena itu, dibutuhkan pengaturan kecepatan menggunakan sebuah
kontroler yang dapat menjaga kecepatan motor BLDC sesuai set-point
meskipun sedang beroperasi pada kondisi berbeban.
Kontroler yang digunakan untuk mengatur kecepatan motor BLDC
adalah kontroler Proposional Integral (PI) berbasiskan Neural-Fuzzy
Hibrida Adaptif. Kontroler PI dipilih karena dapat mengeliminasi steadystate
error. Sedangkan Neural-Fuzzy Hibrida Adaptif merupakan
kombinasi antara Fuzzy dan Neural-Network. Fuzzy digunakan untuk
penentuan parameter kontroler PI. Parameter kontroler PI didapatkan dari
Neural-Network. Karakteristik respon terhadap hasil implementasi
memiliki settling time 20 detik, overshoot sebesar 1,1%, dan time constant
7,7 detik.
==================================================================================================================Electric cars become the latest innovations with the main objective
to release the dependence on fossil fuels. Research that has been there
explained that the electric motor is suitable to drive an electric car is a
Brushless Direct Current (BLDC) motor. Some of the advantages of
BLDC motor is smooth sound, compact size, large torque, high efficiency,
has a long lifespan, and easy to control. Performance and speed of the
BLDC motor can be disturbed when working on load condition.
Therefore, it takes the speed setting using a controller that can keep
BLDC motor speed suit to set-point even when operating at load
condition.
The controller used to control the speed of the BLDC motor is a
Proportional Integral (PI) controller based Hybrid Adaptive Neural-
Fuzzy. PI controller is chosen because it can eliminate the steady-state
error. While Hybrid Adaptive Neural-Fuzzy is a combination of Fuzzy
Logic and Neural-Network. Fuzzy Logic is used to determine parameters
PI controller. Parameters PI Controller obtained from Neural-Network.
The response characteristics of the results of the implementation have 20
seconds settling time, overshoot of 1.1%, and the time constant of 7.7
seconds.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 629.831 2 Wic p |
| Uncontrolled Keywords: | Brushless DC, Hybrid Adaptive Neural-Fuzzy, Propotional and Integral (PI) Controller, Brushless DC, Hybrid Adaptive Neural-Fuzzy, Propotional and Integral (PI) Controller. |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | ansi aflacha |
| Date Deposited: | 02 Jan 2020 07:21 |
| Last Modified: | 27 May 2020 08:27 |
| URI: | http://repository.its.ac.id/id/eprint/72502 |
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