Building Model-based Fuzzy Controllers for Batch Processes

• Main Authors: Liao, Jun-Kai, 廖俊凱
• Other Authors: Chin Wen-Chihy
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/10829707770999056666

碩士 === 中國文化大學 === 造紙印刷研究所 === 85 === This article builds model-based fuzzy controllers for batch processes by using takagi and Sugeno's fuzzy logic systems. The premise of an implicationis the descrirtion of fuzzy subspace of inputs and its consequence is a linear input- output relation. In order to reduce the number of piecewise linear relations and to connect each subspace smoothly. The method of identification of a system using its input-output data. Combined with the parameters of the proposed model,the optimal controller output is determined by using a long-range predictive control strategy. Two applications of the method to bioprocesses are discussed: a batch fermentation process and a recombinant yeast fermentation for hepatitis B virus surface antigen ( HBsAg ) production. Results of the simulation study are presented to demonstrate the ability of the proposed method on the bioprocesses.