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Optimized PID controller for an industrial biological fermentation Cheek for process

机译:用于工业生物发酵脸颊的优化PID控制器

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摘要

Vaccine development comprises multiple stages, the first of which involves cultivating an organism in a microbial fermenter to produce a vaccine product. In order to ensure the optimal synthesis of the vaccine product, it is necessary to maintain adequate control of the dissolved oxygen (dO(2)), which is required for the organism to grow and survive. Our work is concerned with controlling the dissolved oxygen in a biological fermenter using a PID (Proportional-Integral-Derivative) Controller. The product from this fermenter is used to create the immunization for a medical illness. However, the present configuration of the PID Controller is inadequate for maintaining the dissolved oxygen at the desired level of 35% relative to saturation. This inadequacy results in violent dO(2) oscillations which compromise the quality of the product. To solve this issue, we use open-loop experimental data to develop empirical transfer-function models of the control process for dissolved oxygen. Then, we apply an optimization algorithm for the PID Controller to obtain the proportional, integral, and derivative gains that would best regulate the dissolved oxygen in the fermenter. The parameters obtained from this algorithm are applied experimentally to the biological fermenter set-up and the results are used to demonstrate that the PID optimization algorithm provides controller settings which successfully regulate the dissolved oxygen. (C) 2018 Elsevier Ltd. All rights reserved.
机译:疫苗开发包括多个阶段,其中第一阶段涉及在微生物发酵罐中培养生物体以产生疫苗产物。为了确保疫苗产品的最佳合成,需要保持对溶解氧的充分控制(DO(2)),这是生物体生长和存活的必需的。我们的工作涉及使用PID(比例 - 积分衍生物)控制器控制生物发酵罐中的溶解氧。来自该发酵罐的产品用于为医疗疾病产生免疫。然而,PID控制器的本配置是不充分的,用于将溶解的氧保持在所需水平的35%相对于饱和度。这种不足导致暴力DO(2)振荡,这些振荡损害了产品质量。为了解决这个问题,我们使用开环实验数据来开发溶解氧的控制过程的经验转移功能模型。然后,我们应用PID控制器的优化算法,以获得最佳调节发酵罐中的溶解氧的比例,积分和衍生物增益。从该算法获得的参数通过实验应用于生物发酵器设置,结果用于证明PID优化算法提供成功调节溶解氧的控制器设置。 (c)2018年elestvier有限公司保留所有权利。

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