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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), theaim of adding glycerol is to obtain as much 1,3-PD as possible. Taking the yieldintensity of 1,3-PD as the performance index and the initial concentrationof biomass, glycerol, and terminal time as the control vector, we propose anoptimal control model subject to a multistage nonlinear dynamical system andconstraints of continuous state. A computational approach is constructed toseek the solution of the above model. Firstly, we transform the optimal controlproblem into the one with fixed terminal time. Secondly, we transcribe theoptimal control model into an unconstrained one based on the penalty functionsand an extension of the state space. Finally, by approximating the controlfunction with simple functions, we transform the unconstrained optimal controlproblem into a sequence of nonlinear programming problems, which can besolved using gradient-based optimization techniques. The convergence analysisand optimality function of the algorithm are also investigated. Numerical resultsshow that, by employing the optimal control, the concentration of 1,3-PD atthe 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,甘油的初始浓度和终末时间为控制载体,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。构建了一种计算方法来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,这些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,通过采用最优控制,可以提高末端时间的1,3-PD浓度。

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