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Development of an algorithm for optimization of continuous technological process of cultivation of microorganisms

机译：一种算法优化培养微生物培养的优化算法

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When implementing the tasks of controlling technological processes, finding the optimal control actions, and creating control algorithms that implement the optimal modes of technological processes, it is necessary to present the criterion of optimality in the form of a goal function, the extremum of which best meets the purpose of this object and expressed as - Relevant technical and economic indicators. The criterion of optimality should be an integral indicator that reflects the main aspects of production. Profit is most often taken as such a criterion for typical microbiological industries - as the most generalized indicator, reflecting almost all aspects of the enterprise. Possible criteria of optimality are analyzed in the form of technical and economic indicators of the process of cultivation of microorganisms, the extremum of which best meets the objectives of production and reflects the main aspects of the functioning of the control object. The analysis of possible modes of microalgae cultivation has been carried out. Two optimization algorithms are substantiated. The first one is based on random search method with an absolute bias, an algorithm for optimizing the process of cultivating microorganisms with continuous regeneration of the flow in one cultivator. The second is an algorithm for determining the optimal residence time of chlorella particles in multistage cultivators, focused on the method of dynamic programming implemented in Wellman's recurrence relation. The developed algorithm for operational forecasting and automatic control of the chlorella cultivation process allows, under given production conditions and the composition of nutrients, to increase the productivity of technological equipment and improve the quality of the target product, as well as to prevent in advance various unforeseen and emergency production situations.
机译：在实施控制技术过程的任务时，找到实现最佳控制动作，并创建实现技术过程的最佳模式的控制算法，有必要以目标函数的形式呈现最佳状态的标准，最佳符合该对象的目的，表达了相关的技术和经济指标。最优性的标准应该是反映生产主要方面的积分指标。利润最常被视为典型的微生物工业的标准 - 作为最广泛的指标，反映企业几乎所有方面。通过微生物培养过程的技术和经济指标的形式分析了可能的最优性标准，其极值最符合生产的目标，并反映了控制对象的运作的主要方面。已经进行了对微藻培养模式的分析。两种优化算法得到证实。第一个基于具有绝对偏压的随机搜索方法，一种用于优化培养微生物的过程的算法，其在一种栽培员中的流动的连续再生。第二种是确定多级耕种机中小球藻颗粒的最佳停留时间的算法，重点是在沃尔曼复发关系中实施的动态规划方法。发达的手术预测和小球藻栽培过程的自动控制算法允许在给定的生产条件和营养成分中提高技术设备的生产率，提高目标产品的质量，以及预防各种不可预见和应急的生产情况。

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