工艺过程的数学建模及酰胺化控制系统的综合

Ihor Buhaienko, Maksym Kyrylenko, Volodymyr Mylenkyi
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引用次数: 0

摘要

目前还没有精确的数学模型或控制系统来控制硫酸钠的生产,因此并不是所有可用的控制系统都是准确的,也不是所有系统在运行过程中可能产生的干扰都被识别出来。一个紧迫的问题是建立一个最优的数学模型,并以此为基础,综合一个用控制器的催化剂控制系统。在为酰胺化过程控制系统的综合建立数学模型时,有必要了解其机制的组成部分。酰胺化反应在释放大量热量的情况下进行,并通过酰胺剂中可用的催化剂进行,副反应也会发生。利用静态和动态特性,建立了数学模型,并在此基础上建立了PID控制器控制系统。在建立数学模型之后,很明显,为了正确操作,酰胺必须不断冷却,因为出口酰胺的温度越低,产品越好。温度应保持在324K ~ 327K,并以19 ~ 20kg /s的速度供水冷却。实施的自动过程控制允许以最小的成本管理生产能力。选择PID控制器作为主控制器,该控制器根据中间体传递函数和传输延时环节的公式进行配置。所使用的控制器包括积分和微分两部分。以PID控制器为基础的综合控制系统,可以充分考察过程中仍然不确定的扰动,提高了达到稳定水平的速度,降低了生产成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical modeling of the technological process and synthesis of the amidation control system
There is still no exact mathematical model or control system for sodium sulphacyl production, so not all available control systems are accurate and not all possible disturbances of the system during operation have been identified. An urgent problem is to create an optimal mathematical model and use it as the basis for the synthesis of an amidator control system using a controller. In creating a mathematical model for the synthesis of the control system for the amidation process, it is necessary to understand the component of its mechanism. The amidation reaction takes place with a significant heat release, as well as through the available catalyst in the amidator, and side reactions occur. Using static and dynamic characteristics, a mathematical model was created, from which a control system was developed using a PID controller. After a mathematical model has been developed, it becomes clear that the amidator must be cooled constantly for its correct operation, because the lower the temperature of the amide at the outlet, the better the product. The temperature must be maintained at a level of 324K to 327K with water supply for cooling at 19-20 kg/s. The implemented automatic process control allows the production capacity to be managed at minimal cost. The PID controller, which is configured according to the formula of the transfer function of the amidator and the transport delay link, was selected as the main controller. The controller used includes two components: integral and differential. The synthesis of the control system based on the PID controller made it possible to fully investigate the process taking into account the disturbances, which were still uncertain, increased the rate of reaching a steady level, and reduced production costs.
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