微生物发酵过程的自组织建模与优化控制
基本信息
结项摘要
本课题针对微生物发酵过程的阶段性、自组织、时变性、非线性、多变量耦合等特点，提出动态ε-LS_SVM自组织局部模型与SQP-SA相互耦联的优化控制新策略。研究PSO-SOM划分发酵阶段方法，为分阶段多目标优化控制做铺垫；研究LS_SVM建立微生物发酵过程的方法，得到不敏感损失函数和核函数的选择规则，确定选择参数C和核函数参数的优化算法；分析微生物发酵过程的时变性特点，研究动态ε-LS_SVM建模方法；通过理论和典型复杂函数仿真实验研究序列二次规划算法（SQP）和模拟退火算法（SA），形成SQP-SA优化算法。利用青霉素发酵过程生产数据，验证本课题所提出的优化控制策略的有效性。此优化控制策略的实现对于提高发酵单位和降低生产成本具有重要作用。
项目摘要
项目成果
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数据更新时间：2023-05-31
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