Internal Model Control - Neuro Fuzzy Gain Schedulling untuk Mengendalikan Kadar Oksigen Terlarut  

Oleh:

Biyanto, Totok Ruki

Jenis: Article from Journal - ilmiah nasional
Dalam koleksi: Jurnal Teknologi Industri vol. 10 no. 2 (Apr. 2006), page 131-140.
Topik: Gain Scheduling; Neuro Fuzzy; NF; Internal Model Control; IMC; Dissolved Oxygen

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ83 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Dissolved oxygen content influent by quantity of bacteria, stirrer speed and oxygen flow rate into the fermentor. This research is develop the new alternative algorithm to control dissolved oxygen content (DO) in the fermentor using Internal Model Control-Neuro Fuzzy Gain Scheduling (IMC-NFGS) by manipulated the stirrer speed. 1MC has better performance of control compare to conventional control (PID), but both of the algorithm are still linier control because of using the linier model to determine the contrcsller parameter. Then the new non linier modeling methods are used, i.e. Neural Network (NN) and Neurofuzzy (NF), but disadvantages of these methods are collecting full range operation data difficulty. Another alternative is using NF Gain scheduling to make IMC tuning parameter (A) is adaptive to plant requirement. The result shown that 1MC-NFGS has better performance of control compare to 1MC conventional, in order to reject disturbance and follow setpoint tracking.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali