Pregled bibliografske jedinice broj: 149221
Dynamic Neural Soft Sensor for Concentration Observation in Binary Distillation Process
Dynamic Neural Soft Sensor for Concentration Observation in Binary Distillation Process // Računala u tehničkim sustavima. Inteligentni sustavi : zbornik radova zajedničkih savjetovanja CTS+CIS = Computers in Technical Systems. Intelligent systems : proceedings of the joint conferences CTS+CIS / Budin, Leo ; Ribarić, Slobodan (ur.).
Rijeka: Hrvatska udruga za mikroprocesorske, procesne i informacijeske sustave, mikroelektroniku i elektroniku, 2004. str. 65-70 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Dynamic Neural Soft Sensor for Concentration Observation in Binary Distillation Process
Autori
Vampola, Milan ; Šoštarić, Igor ; Gosak, Darko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Računala u tehničkim sustavima. Inteligentni sustavi : zbornik radova zajedničkih savjetovanja CTS+CIS = Computers in Technical Systems. Intelligent systems : proceedings of the joint conferences CTS+CIS
/ Budin, Leo ; Ribarić, Slobodan - Rijeka : Hrvatska udruga za mikroprocesorske, procesne i informacijeske sustave, mikroelektroniku i elektroniku, 2004, 65-70
ISBN
953-233-003-8
Skup
Savjetovanje Računala u tehničkim sustavim ; Savjetovanje Inteligentni sustavi (u okviru XXVII. International Convention MIPRO 2004)
Mjesto i datum
Opatija, Hrvatska, 24.05.2004. - 29.05.2004
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
neural; soft sensor; distillation
Sažetak
Distillation process is very common in chemical industry as the most appropriate method for separation of liquid mixtures. Main distillation disadvantage is high energy consumption in comparison with other separation techniques. Therefore, optimal operation with tight composition control is essential for any high capacity distillation column. This task is difficult because of process nonlinearity and inability to measure concentration directly without expensive equipment. In this paper, concentration soft sensor is developed for observing on line feed composition together with distillate and bottom composition in binary distillation process. Soft sensor uses temperature measurements along the column as a cheap and reliable measuring quantities. Observer model is based on externally recurrent dynamic neural net coupled with static net for describing temperature composition relationship on several column positions. Dynamic neural net learning is performed off line using data gathered on sets of experiments on pilot distillation column. Soft sensor on line calculation method is tested in sets of experiments on pilot column with methanol - water and acetone - water binary mixtures. Results of experiments has shown applicability of developed method and its suitability to be used as a base for non-linear composition control of distillation process.
Izvorni jezik
Engleski
Znanstvena područja
Kemijsko inženjerstvo