지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2008.10
- 수록면
- 1,196 - 1,199 (4page)
이용수
초록· 키워드
오류제보하기
The difficulty of controlling pH neutralization processes resides in the non-linearity of such processes. This behavior is due to the logarithmic relationship between the hydrogen ions concentrations [H+] and the level of pH. The control strategy to be developed very much depends on the feasibility of the mathematical model that represents the process. This paper illustrates feasible modeling of the pH neutralization plant using empirical techniques and investigates the performance of an artificial neural network predictive controller against the more traditional PID controllers. As a conclusion, a feasible empirical model was found closest to a second?rder with dead time. The artificial neural network predictive controller has outperformed the conventional PI / PID controllers.
목차
Abstract
1. INTRODUCTION
2. FUNDAMENTAL MODEL OF pH TITRATION
3. METHODOLOGY
4. RESULTS
5. CONCLUSION
ACKNOWLEDGEMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000984633