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Geometric optimal control techniques to optimize the production of chemical reactors using temperature control

机译:几何最优控制技术,以使用温度控制优化化学反应器的生产

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The dynamics of mass reaction kinetics chemical systems is modeled by the Feinberg-Horn-Jackson graph and under the "zero deficiency assumption", the behavior of the solutions is well known and splits into two cases: if the system is not weakly reversible there exists no equilibrium, nor periodic solution and if the network is weakly reversible in each stoichiometric subspace there exists only one equilibrium point and this point is asymptotically stable. By varying the temperature, one gets a single input control system and in this article we study the problem of maximizing the production of one species during the batch time. Our aim is to present the geometric techniques and results based on the Pontryagin maximum principle to compute the closed loop optimal solution. The complexity of the problem is illustrated by using two test bed examples: a sequence of two irreversible reactions and the McKeithan scheme. (C) 2019 Elsevier Ltd. All rights reserved.
机译:质量反应动力学化学系统的动态由Feinberg-Horn-Jackson图表和“零缺陷假设”下,解决方案的行为是众所周知的,分为两种情况:如果系统并不弱可逆存在没有平衡,也不是周期性的解决方案,如果网络在每个化学计量子空间中弱可逆,则只有一个平衡点,这一点是渐近稳定的。通过改变温度,一个输入控制系统,在本文中,我们研究了在批量时间最大化一个物种的问题。我们的目的是基于Pontryagin最大原理介绍几何技术和结果,以计算闭环最佳解决方案。通过使用两个试验床示例来说明问题的复杂性:一系列不可逆反应和麦基托方案。 (c)2019 Elsevier Ltd.保留所有权利。

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