Optimizing Control of Bio-dissimilation Process of Glycerol to 1,3-Propanedlol  

作　　者：徐恭贤 邵诚 修志龙 

机构地区：[1]Institute of Advanced Comrol Technology, Dalian University of Technology, Dalian 116024, China [2]Department of Bioscience and Biotechnology, Dalian University of Technology, Dalian 116024, China

出　　处：《Chinese Journal of Chemical Engineering》2008年第1期128-134,共7页中国化学工程学报（英文版）

基　　金：the State Science and Technology Project of China (No.2001BA204B01).

摘　　要：An iterative optimization strategy is proposed and applied to the steady state optimizing control of the bio-dissimilation process of glycerol to 1,3-propanediol in the presence of model-plant mismatch and input constraints. The scheme is based on the Augmented Integrated System Optimization and Parameter Estimation （AI- SOPE） technique, but a linearization of some performance function in the modified model-based optimization problem of AISOPE is introduced to overcome the difficulty of determining an appropriate penalty parameter. When carrying out the iterative optimization, the penalty coefficient is set to a larger value at the current iteration than at the previous iteration, which can promote the evolution rate of the iterative optimization. Simulation studies illustrate the potential ofthe approach presented for the optimizing control of the bioTdissimilation process of glycerol to 1,3-propanediol. The effects of measurement noise, measured and unmeasured disturbances on the proposed algorithm are also investigated.An iterative optimization strategy is proposed and applied to the steady state optimizing control of the bio-dissimilation process of glycerol to 1,3-propanediol in the presence of model-plant mismatch and input con- straints. The scheme is based on the Augmented Integrated System Optimization and Parameter Estimation (AI- SOPE) technique, but a linearization of some performance function in the modified model-based optimization problem of AISOPE is introduced to overcome the difficulty of determining an appropriate penalty parameter. When carrying out the iterative optimization, the penalty coefficient is set to a larger value at the current iteration than at the previous iteration, which can promote the evolution rate of the iterative optimization. Simulation studies illustrate the potential of the approach presented for the optimizing control of the bio-dissimilation process of glyc- erol to 1,3-propanediol. The effects of measurement noise, measured and unmeasured disturbances on the proposed algorithm are also investigated.

关 键 词：steady state optimizing control iterative optimization bio-dissimilation process 1 3-propanediol penalty coefficient model mismatch 

分 类 号：O62[理学—有机化学]