Pemodelan Motor lnduksi Berbasis Jaringan Syaraf Tiruan Dengan Radial Basis Function  

Oleh:

Purwanto, Era ; Yukihiko, Santo ; Subagio ; Darwanto, Agus ; Prabowo, Gigih

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Gematek: Jurnal Teknik Komputer vol. 7 no. 1 (Mar. 2005), page 14-22.
Topik: motor induksi; induction motor model; neural network; radial base function

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: GG6.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Induction motor performance needs matehmatical model. Conventional model has limited capabilities and can be used only for balance sinusoidal power suply. D - q - n model is good, because it has been developed based on reference frame theory that can cover steady state and transient, condition also for nonsinusoidal power suply. The weakness of this model is that it cannot cover nonlinier model. If the system made is nonlinier system, as in induction motor, then if must be linierized. To overcome this, induction motor model motor uses artificial neural network is developed. Induction motor model with RBF learning produces 0.001 torsion error.

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