| 甘油生物歧化为1,3-丙二醇过程的H∞控制 |
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| 引用本文： | 徐恭贤,邵诚,修志龙.甘油生物歧化为1,3-丙二醇过程的H∞控制[J].自动化学报,2006,32(1):112-119. |
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| 作者姓名： | 徐恭贤 邵诚 修志龙 |
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| 作者单位： | 1.Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024 |
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| 基金项目： | Supportcd by National Science and Technology Pursuit Project （2001BA204B01） |
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| 摘 要： | A robust controller is designed by using the bilinear transformation and H∞ mixed sensitivity method for bio-dissimilation process of glycerol to 1,3-propanediol. Under the controller the system works near an optimal steady-state for the volumetric productivity of 1,3-propanediol attaining its maximization. The design procedure is carried out by tuning the transformation parameter and DC gain of the performance weighted function, which is an iterative and optimal search process. Simulation results are presented which show that the designed robust controller not only ensures the robust stability of the system in face of the parametric variations in the model, but also makes the system have a favourable robust tracking performance. The validity of the proposed H∞ controller has been tested.
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| 关 键 词： | H∞ control mixed sensitivity problem bilinear transformation bioprocess control |
| 收稿时间： | 2005-05-13 |
| 修稿时间： | 2005-10-17 |
H∞ Control of Bio-dissimilation Process of Glycerol to 1,3-Propanediol |
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| XU Gong-Xian,SHAO Cheng,XIU Zhi-Long.H∞ Control of Bio-dissimilation Process of Glycerol to 1,3-Propanediol[J].Acta Automatica Sinica,2006,32(1):112-119. |
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| Authors: | XU Gong-Xian SHAO Cheng XIU Zhi-Long |
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| Affiliation: | 1.Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024 |
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| Abstract: | A robust controller is designed by using the bilinear transformation and H∞ mixed sensitivity method for bio-dissimilation process of glycerol to 1,3-propanediol. Under the controller the system works near an optimal steady-state for the volumetric productivity of 1,3-propanediol attaining its maximization. The design procedure is carried out by tuning the transformation parameter and DC gain of the performance weighted function, which is an iterative and optimal search process. Simulation results are presented which show that the designed robust controller not only ensures the robust stability of the system in face of the parametric variations in the model, but also makes the system have a favourable robust tracking performance. The validity of the proposed H∞ controller has been tested. |
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| Keywords: | H∞ control mixed sensitivity problem bilinear transformation bioprocess control |
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