Implementasi Adaptive Fuzzy Dengan Gradient Descent Pada Pengaturan Kecepatan Motor Induksi Tiga Fasa  

Oleh:

Putri, Ratna Ika ; Rameli, Mochammad ; Rusli, Mochammad

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Gematek: Jurnal Teknik Komputer vol. 8 no. 2 (Sep. 2006), page 73-82.
Topik: Temperature Gradient; induction motor; adaptive fuzzy; gradient descent

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: GG6.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Three phases induction motor is the most widely used electric motor in Industries. The weakness induction motor unable to maintain speed constantly due to load change. This research design the speed controller using adaptive fuzzy controller with gradient descent learning algorithm. Speed controller is expected that speed of induction motor can steady state eventhough there are disturbances or load change. Based on implementation result indicate adaptive fuzzy controller has parameter of transient settling time, rise time, delay time, time constant, error steady state is 0.6 % and maximum overshoot is 0 %. On load situation has recovery time of 3.78 s.

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