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首页> 外文期刊>Journal of Process Control >Optimal adaptive control schemes for PHB production in fed-batch fermentation of Ralstonia eutropha
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Optimal adaptive control schemes for PHB production in fed-batch fermentation of Ralstonia eutropha

机译:富营养小球藻分批补料发酵生产PHB的最佳自适应控制方案

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摘要

A dynamic model for a fed-batch fermentation of Ralstonia eutropha for PHB production is presented. Based on the simplified kinetics, some of kinetic parameters are very sensitive to uncertainties. To develop the robust and feasible feeding strategy, the specific optimal adaptive control strategy is determined by solving the constrained discrete-time optimization algorithm using the genetic algorithm solver in Matlab. The proposed control methods are implemented to the feed flow manipulation with stepwise changes. Through Lyapunov stability analysis, the closed-loop stability regarding the state estimation errors and parametric uncertainties is investigated. Finally, simulations show that the satisfactory output tracking performance is achieved under the two-input control configuration.
机译:提出了富营养性小球藻(Ralstonia eutropha)分批发酵生产PHB的动态模型。基于简化的动力学,某些动力学参数对不确定性非常敏感。为了开发鲁棒而可行的进料策略,通过在Matlab中使用遗传算法求解器求解约束离散时间优化算法,确定具体的最优自适应控制策略。所提出的控制方法可以逐步改变进料流量。通过Lyapunov稳定性分析,研究了关于状态估计误差和参数不确定性的闭环稳定性。最后,仿真表明,在两输入控制配置下,可以获得令人满意的输出跟踪性能。

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