| 宫召华,冯恩民,修志龙.微生物间歇发酵比生长速率辨识及优化算法[J].,2009,(4):611-616 |
| 微生物间歇发酵比生长速率辨识及优化算法 |
| Identification of specific growth rate and optimization algorithm in microbial batch culture |
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| DOI：10.7511/dllgxb200904025 |
| 中文关键词: 动力系统 系统辨识 粒子群算法 参数优化 间歇发酵 |
| 英文关键词: dynamical system system identification particle swarm algorithm parameter optimization batch culture |
| 基金项目:“十五”国家科技攻关资助项目(2001BA708B01-04);国家自然科学基金资助项目(1087103370772026). |
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| 中文摘要: |
| 根据微生物间歇发酵甘油生产1,3-丙二醇过程的特征及动态行为，建立了能够更好地描述微生物间歇发酵过程的含控制函数和参数的动力系统，证明了该系统的一些性质．以实验数据和计算值之间误差平方和最小为性能指标，建立了系统辨识模型．根据微生物生长特点，采用离散化方法将系统辨识模型转化为一个参数辨识问题．最后，构造了改进的粒子群算法求解．数值结果表明实验观测值和计算值之间的相对误差比已有研究结果降低了6%~16%，该系统能更好地模拟间歇发酵过程． |
| 英文摘要: |
| A kinetic system with control function and parameter is established to formulate the batch culture process of bio-dissimilation glycerol to 1, 3-propanediol(1, 3-PD) better. Subsequently, some properties of the kinetic system are proved. Taking the minimal error between the experimental data and calculated values as the performance index, an identification model is presented and it is transformed into a parameter optimization problem by discretization method. The identifiability of parameter is also proved. Finally, an improved particle swarm algorithm is constructed to solve the optimization problem. Numerical results show that the errors between the experimental data are cut down by 6%-16% and the kinetic system can characterize the batch culture process better. |
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