引力搜索算法在青霉素发酵过程模型参数估计中的应用

Lei Wang, Jindong Chen, Feng Pan
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引用次数: 1

摘要

针对生物发酵过程模型参数的准确辨识问题,提出了一种基于引力搜索算法(GSA)的青霉素发酵非结构动力学模型参数估计方法。根据发酵机理规律,选择合适的非结构动力学模型状态方程;利用GSA的全局搜索能力,对状态方程参数进行估计,得到准确的发酵模型。仿真结果表明,GSA能准确估计青霉素发酵过程中的模型参数,得到的模型精度能够满足青霉素发酵过程状态估计和条件控制的要求。因此,GSA可以有效地应用于模型参数估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of gravitational search algorithm in parameters estimation of penicillin fermentation process model
Concerning the identification of the accurate model parameters of biological fermentation process, a parameters estimation method for non-structural dynamical model of penicillin fermentation using the Gravitational Search Algorithm( GSA) was proposed. Based on the rule of fermentation mechanism, the appropriate state equations of non-structural dynamical model were chosen; and through virtue of the global searching ability of GSA, the parameters of state equation were estimated and the accurate fermentation model was obtained. The simulation results show that GSA accurately estimated model parameters in penicillin fermentation process, the accuracy of the obtained model can meet the requirements of state estimation and condition control in penicillin fermentation process. Therefore, GSA can be applied to model parameters estimation effectively.
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