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

›› 2008, Vol. 16 ›› Issue (1): 128-134.

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

徐恭贤¹, 邵诚¹, 修志龙²

1. Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China;
2. Department of Bioscience and Biotechnology, Dalian University of Technology, Dalian 116024, China

收稿日期:2007-06-23 修回日期:2007-09-11 出版日期:2008-02-28 发布日期:2008-02-28
通讯作者: XU Gongxian, E-mail: dutxugx@yahoo.com.cn
基金资助:
the State Science and Technology Project of China (No.2001BA204B01).

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

XU Gongxian¹, SHAO Cheng¹, XIU Zhilong²

1. Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China;
2. Department of Bioscience and Biotechnology, Dalian University of Technology, Dalian 116024, China

Received:2007-06-23 Revised:2007-09-11 Online:2008-02-28 Published:2008-02-28
Supported by:
the State Science and Technology Project of China (No.2001BA204B01).

摘要/Abstract

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 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, pen-alty coefficient, model mismatch

Abstract: 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 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.

Key words: steady state optimizing control, iterative optimization, bio-dissimilation process, 1,3-propanediol, pen-alty coefficient, model mismatch

徐恭贤, 邵诚, 修志龙. Optimizing Control of Bio-dissimilation Process of Glycerol to 1, 3-Propanediol[J]. , 2008, 16(1): 128-134.

XU Gongxian, SHAO Cheng, XIU Zhilong. Optimizing Control of Bio-dissimilation Process of Glycerol to 1, 3-Propanediol[J]. , 2008, 16(1): 128-134.

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

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

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