| 학회 | 한국화학공학회 |
| 학술대회 | 2006년 가을 (10/27 ~ 10/28, 고려대학교) |
| 권호 | 12권 2호, p.1765 |
| 발표분야 | 생물화공 |
| 제목 | Design of AI Controllers for Multivariable Bioprocesses |
| 초록 | The system uses a recursively learning fuzzy algorithm to optimizing the control of the temperature in the fermentor. Here the temperature responded in two different ways in a 7°C set point change depending on the difference in the temperature of the ambient and the fermentor. If the set point temperature of the fermentor was different in less than 10°C from the room temperature, the fermentor had kept the temperature within 99.90 percent of the set point in 4 minutes. Meanwhile the difference had been much greater than 10°C, the overshoot reduced to less than 0.1°C. The On-Off control for the pH in the fermentor was thought to be enough. The pH had reached in less than one minute where the set point change had been 1 pH. Since the pH sensor’s response time was too long, the overshoot led to a 0.2 pH. After the overshoot the pH waved within 0.1 pH of the set point. The oscillation in a 0.1 pH is normally endurable in many bioprocesses. In conclusion, the Fuzzy algorithm of the system presented in this work would be utilized as alternative control device for the other bioprocesses. |
| 저자 | 류 매1, 한 신2, 김동진3, 한현각4, 박 현5, 가강현6, 박원철6, 박찬영2 |
| 소속 | 1효성 중앙(연), 2전남대, 3금릉실업, 4순천향대, 5산림청산림정책팀, 6국립산림과학원 |
| 키워드 | bioprocess; AI control |
| VOD | VOD 보기 |
| 원문파일 | 초록 보기 |
