Grey prediction fuzzy control for pH processes in the food industry
作者： Chao-Chin Chung , Ho-Hsien Chen , Ching-Hua Ting
DOI: 10.1016/J.JFOODENG.2009.09.004
关键词:
摘要: Abstract Proper regulation of pH value is an important issue in the food industry for quality production. A process usually has non-linear dynamics with system uncertainty. This study treats a reactor tank as grey box partially known information. The behaviour predicted one-step ahead first-order model. fuzzy controller takes prediction together current response to regulate discharge base (NaOH) or acid (HCl) solution into arrive at desired value. integrated control (GPFC) strategy simple control-law derivation and implementation efficient computation. developed GPFC was validated perform base/acid titration continuous acidification/deacidification control. controlled error trivial less than 1% under proper agitation reactants. used Acetobacter xylinum fermentation cellulose scheme exerted smooth action, achieved steady-state control, yielded more acetic products but consumed much material PID manual
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sci-hub.se 参考文章(39)
C. Riverol, J. Cooney, Estimation of the ester formation during beer fermentation using neural networks Journal of Food Engineering. ,vol. 82, pp. 585- 588 ,(2007) , 10.1016/J.JFOODENG.2007.03.016
Salih Obut, Canan Özgen, Online Identification and Control of pH in a Neutralization System Industrial & Engineering Chemistry Research. ,vol. 47, pp. 4394- 4404 ,(2008) , 10.1021/IE070492P
Raymond A Wright, Costas Kravaris, On-line identification and nonlinear control of an industrial pH process Journal of Process Control. ,vol. 11, pp. 361- 374 ,(2001) , 10.1016/S0959-1524(00)00003-2
Stefan Menzl, Michael Stühler, Roland Benz, A self adaptive computer-based pH measurement and fuzzy-control system Water Research. ,vol. 30, pp. 981- 991 ,(1996) , 10.1016/0043-1354(95)00249-9
Owolarafe O. Kehinde, Odejobi A. Odetunji, Computer simulation of fuzzy control system for gari fermentation plant Journal of Food Engineering. ,vol. 68, pp. 197- 207 ,(2005) , 10.1016/J.JFOODENG.2004.05.032
Ruey-Jing Lian, Bai-Fu Lin, Jyun-Han Huang, A grey prediction fuzzy controller for constant cutting force in turning International Journal of Machine Tools & Manufacture. ,vol. 45, pp. 1047- 1056 ,(2005) , 10.1016/J.IJMACHTOOLS.2004.11.023
B. O' Connor, C. Riverol, P. Kelleher, N. Plant, R. Bevan, E. Hinchy, J. D'Arcy, Integration of fuzzy logic based control procedures in brewing Food Control. ,vol. 13, pp. 23- 31 ,(2002) , 10.1016/S0956-7135(01)00067-6
Babatunde A. Ogunnaike, A contemporary industrial perspective on process control theory and practice Annual Reviews in Control. ,vol. 20, pp. 1- 8 ,(1996) , 10.1016/S1367-5788(97)00001-1
Junghui Chen, Tien-Chih Huang, Applying neural networks to on-line updated PID controllers for nonlinear process control Journal of Process Control. ,vol. 14, pp. 211- 230 ,(2004) , 10.1016/S0959-1524(03)00039-8
M.J. Fuente, C. Robles, O. Casado, S. Syafiie, F. Tadeo, Fuzzy control of a neutralization process Engineering Applications of Artificial Intelligence. ,vol. 19, pp. 905- 914 ,(2006) , 10.1016/J.ENGAPPAI.2006.01.008