控制阀位置响应的Matlab识别

Leili Esmaeilani, J. Ghaisari, M. Ahmadian, Roya Esmaeilani
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引用次数: 4

摘要

在设计改进的控制器或识别其特性和行为之前,可以将运行中的工业系统的建模和识别视为第一步。有两种规范可以区分操作工业系统的建模与非操作或实验室案例的建模。第一个是有限的可能输入变化范围,或者换句话说,缺乏将所需输入应用到系统以执行建模的权限。第二,由于系统的复杂性和机械部件分析的难度,在大多数情况下无法获得真实的力学模型。此外,可用的有限的数据抽样设施可以作为另一个障碍加以增加。本文利用Matlab识别GUI,对安装在压缩机包上的控制阀进行了黑盒SISO模型估计。对突然全开状态下阀门位置和动作的三个实际数据集进行了计算。从该图形用户界面的其他可用模型中可以得出结论,三极过程模型是最合适的模型。将两个数据集分别作为工作数据集和验证数据集,计算出的最佳拟合值大于87%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control valve position response identification by Matlab
Modeling and identification of under operation industrial systems could be considered as the first step before making any efforts in order to design improved controller or identify their characteristics and behaviors. There are two specifications that distinguish modeling of operational industrial systems from modeling of non-operational or laboratory cases. The first one is the limited possible input variation range or in the other word, lack of permission to apply desired inputs to the system in order to perform modeling. The second one is that in most cases the real mechanical model is not available due to system complexity and difficulty of its mechanical parts analysis. Moreover, limited available facilities for data sampling could be added as another barrier. In this paper, a black-box SISO model for a control valve, which is installed on a compressor package, is estimated by Matlab identification GUI. The calculations are performed about the three real datasets which are obtained from the valve position and action in sudden full open conditions. It can be concluded that the 3-poles process model is the most appropriate model from the other available models in this GUI. Also the calculated best fit value was more than 87% after considering two employed datasets as Working and Validation datasets respectively.
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