描述抽油机启动和停止过程的微分方程参数的估计

A. Maistrenko, Anatoly A. Svetlakov
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引用次数: 0

摘要

本文介绍了某油站抽油机各种暂态模式的研究结果,特别是对驱动电机的定子电流和转子转速特性进行了研究。抽油机的特性在运行过程中会发生很大的变化。这是由于泵送的油的参数几乎是连续变化的,抽油机的部件也会发生物理磨损,叶轮尤其容易发生磨损。该物体的输入和输出变量分别为其转子的旋转时间和角速度。以上因素的综合作用对转子运行时转速的变化有显著影响,对整个系统的运行产生不利影响。为了消除外部因素对抽油机运行的影响,采用常系数常微分方程来描述输入和输出变量之间的关系。这项工作的目的是说明应用灵敏度算法估计给定方程参数的可能性和“技术”,并表明所提出的方法和实现它的数值算法使我们能够相当成功地解决所考虑的问题,并且它们适用于解决与常微分方程参数估计有关的许多类似的应用问题。工作结果表明,所提出的方法和实现该方法的数值算法是有效的,可以进一步应用于各个科技领域的实控对象自动化。
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Estimation of parameters of the differential equation describing the processes of starting and stopping the pumping unit
This article presents the results of the study of various transient modes of the pumping unit of an oil pumping station, in particular, the stator currents of the drive motor and the speed characteristic of its rotor rotation. The characteristics of the pumping unit can change quite significantly during operation. This is due to the fact that the parameters of the pumped oil change almost continuously, physical wear of the parts of the pumping unit also occurs, and the impeller is especially susceptible to wear. The input and output variables of this object are, respectively, the time and the angular velocity of rotation of its rotor. The combination of the above factors has a significant impact on the change in the speed of rotation of the rotor during operation, which can adversely affect the operation of the system as a whole. In order to eliminate the influence of external factors on the operation of the pumping unit, the relationship between the input and output variables was described by an ordinary differential equation with constant coefficients. The purpose of this work is to illustrate the possibilities and "technology" of applying the sensitivity algorithm for estimating the parameters of a given equation and to show that the proposed method and the numerical algorithm that implements it allow us to quite successfully solve the problem under consideration and they are suitable for solving many similar applied problems related to estimation of parameters of ordinary differential equations.Based on the results of the work, the proposed method and the numerical algorithm that implements it have shown their efficiency and can be further used to automate real control objects in various fields of science and technology.
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