제어로봇시스템학회:학술대회논문집
- 2003.10a
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- Pages.90-95
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- 2003
Adaptive Nonlinear Constrained Predictive Control of pH Neutralization in Fed-batch Bio-reactor
- Zhe, Xu (YanBian University) ;
- Kim, Hak-Kyeong (Dept. of Mechanical Eng., College of Eng., Pukyong National University) ;
- Kim, Sang-Bong (Dept. of Mechanical Eng., College of Eng., Pukyong National University)
- Published : 2003.10.22
Abstract
In this paper, an Adaptive Nonlinear Constrained Model Predictive Control (ANCMPC) is presented for a pH control in a fed-batch bio-reactor. The pH model is represented with Hammerstein Model. The static nonlinear part of Hammerstein model is described with the static pH model, and the dynamic linear part of the Hammerstein model is described with the CARIMA model. The parameters of the CARIMA model is estimated on-line with the input and output measurements of the system using a recursive least squares type of identi�cation algorithm. The e�ectiveness of the proposed controller is shown through simulations.
Keywords
- adaptive;
- nonlinear;
- constraint;
- model predictive control;
- pH neutralization;
- bio-reactor;
- Control Autoregulative Integrated Moving Average (CARIMA) and Hammerstein model