SCI和EI收录∣中国化工学会会刊

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

• SYSTEM ENGINEERING • Previous Articles     Next Articles

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

XU Gongxian1, SHAO Cheng1, XIU Zhilong2   

  1. 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).

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

徐恭贤1, 邵诚1, 修志龙2   

  1. 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
  • 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).

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

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