Prabowo, Irwan Eko (2016) Perancangan Pengaturan Kecepatan Pada Motor Arus Searah Tanpa Sikat Menggunakan Neural Network Berbasis Particle Swarm Optimization. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Brushless Direct Current Motor ( Motor BLDC ) merupakan
pengembangan dari teknologi motor DC yang telah ada. Motor ini dapat
berfungsi tanpa menggunakan sikat pada komutatornya. Sikat / brush
yang ada, merupakan salah satu kelemahan dari motor DC dikarenakan
perlunya perawatan pada sikat secara berkala. Motor BLDC sendiri
memiliki berbagai keunggulan dibandingkan dengan motor DC
konvensional. Pada tugas akhir ini, saya merancang sebuah sistem motor
BLDC, kemudian digunakan kontroler Neural Network memaksimalkan
efektifitas kerja motor pada segala kondisi. Pada Neural Network sendiri
memiliki kemampuan untuk memperbaiki kinerja sistemnya melalui
proses learning dengan melakukan perubahan pada nilai bobotnya. Pada
proses learning, untuk optimisasi perubahan nilai bobot maka dapat
digunakan Particle Swarm Optimization ( PSO ). Dari Hasil Learning
yang didapat diperoleh parameter nilai bobot w1=0,136782366779, w2=
0,56795706196, w3= 0,00235166854, dan w4=1
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Brushless Direct Current Motor (BLDC Motor) is a development of the
DC motor technology. This motor can function without the use of brushes
in its comutator. Brush that exist, is one of the disadvantages of DC motor
due to the need for care in the brush on a regular basis. BLDC motor itself
has various advantages compared to the conventional DC motors. In this
final task, I designed a system of BLDC motor controller, then used Neural
Network to maximize the effectiveness of the motor work in all conditions.
On Neural Network alone has the ability to improve the performance of
the system through the process of learning by doing it, the weight on the
value of Neural Network change. On the process of learning, for
optimization changes the value of weight then it can be used a Reinforced
learning using Particle Swarm Optimization (PSO) Algorithm.From the
Learning process we get the parameter of weight w1=0.13678236677,
w2= 0.56795706196, w3= 0.00235166854, and w4=1.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.46 Pra p |
| Uncontrolled Keywords: | Motor arus searah tanpa sikat, Brushless DC, PSO-NN , Neural Network |
| Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL521.3 Automatic Control |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Users 13 not found. |
| Date Deposited: | 10 Jul 2017 06:24 |
| Last Modified: | 27 Dec 2018 04:14 |
| URI: | http://repository.its.ac.id/id/eprint/41954 |
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