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首页> 外文期刊>Computers & Chemical Engineering >Nonlinear control of the dissolved oxygen concentration integrated with a biomass estimator for production of Bacillus thuringiensis δ-endotoxins
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Nonlinear control of the dissolved oxygen concentration integrated with a biomass estimator for production of Bacillus thuringiensis δ-endotoxins

机译：苏云金芽孢杆菌δ-内毒素产生的生物质估计量与溶解氧浓度的非线性控制

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摘要

Bacillus thuringiensis is a microorganism that allows the biosynthesis of 8-endotoxins with toxic properties against some insect larvae, being often used for the production of biological insecticides. A key issue for the bioprocess design consists in adequately tracking a pre-specified optimal profile of the dissolved oxygen concentration. To this effect, this paper aims at developing a novel control law based on a nonlinear dynamic inversion method. The closed-loop strategy includes an observer based on a Bayesian Regression with Gaussian Process, which is used for on-line estimating the biomass present in the biore-actor. Unlike other approaches, the proposed controller leads to an improved response time with effective disturbance rejection properties, while simultaneously prevents undesired oscillations of the dissolved oxygen concentration. Simulation results based on available experimental data were used to show the effectiveness of the proposal.
机译：苏云金芽孢杆菌是一种微生物，可以生物合成对某些昆虫幼虫具有毒性的8-内毒素，通常被用于生产生物杀虫剂。生物工艺设计的关键问题在于充分跟踪预先确定的最佳溶解氧浓度曲线。为此，本文旨在开发一种基于非线性动态反演方法的新型控制律。闭环策略包括一个基于基于高斯过程的贝叶斯回归的观察者，该观察者用于在线估算生物反应器中存在的生物量。与其他方法不同，所提出的控制器可改善响应时间，并具有有效的干扰抑制特性，同时可防止溶解氧浓度的不希望有的波动。基于现有实验数据的仿真结果被用来证明该方案的有效性。

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