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首页> 外文期刊>Journal of applied mathematics >Optimal Control for Multistage Nonlinear Dynamic System of Microbial Bioconversion in Batch Culture
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Optimal Control for Multistage Nonlinear Dynamic System of Microbial Bioconversion in Batch Culture

机译:分批培养中微生物生物转化多阶段非线性动力学系统的最优控制

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摘要

In batch culture of glycerol biodissimilation to 1,3-propanediol (1,3-PD), the aim of adding glycerol is to obtain as much 1,3-PD as possible. Taking the yield intensity of 1,3-PD as the performance index and the initial concentration of biomass, glycerol, and terminal time as the control vector, we propose an optimal control model subject to a multistage nonlinear dynamical system and constraints of continuous state. A computational approach is constructed to seek the solution of the above model. Firstly, we transform the optimal control problem into the one with fixed terminal time. Secondly, we transcribe the optimal control model into an unconstrained one based on the penalty functions and an extension of the state space. Finally, by approximating the control function with simple functions, we transform the unconstrained optimal control problem into a sequence of nonlinear programming problems, which can be solved using gradient-based optimization techniques. The convergence analysis and optimality function of the algorithm are also investigated. Numerical results show that, by employing the optimal control, the concentra-tion of 1,3-PD at the terminal time can be increased, compared with the previous results.
机译:在甘油生物异化为1,3-丙二醇(1,3-PD)的分批培养中,添加甘油的目的是获得尽可能多的1,3-PD。以1,3-PD的屈服强度为性能指标,以生物质,甘油的初始浓度和末端时间为控制向量,提出了一种基于多阶段非线性动力学系统和连续状态约束的最优控制模型。构建一种计算方法以寻求上述模型的解决方案。首先,将最优控制问题转化为具有固定终端时间的控制问题。其次,基于惩罚函数和状态空间的扩展,将最优控制模型转化为无约束模型。最后,通过用简单函数逼近控制函数,我们将无约束的最优控制问题转化为一系列非线性规划问题,可以使用基于梯度的优化技术来解决。还研究了算法的收敛性和最优性。数值结果表明,与以前的结果相比,通过采用最佳控制,可以提高末端时间的1,3-PD浓度。

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