利用典型测试信号进行一阶加死区时间的辨识

Abdelbacet Mhamdi, K. I. Taarit, M. Ksouri
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引用次数: 0

摘要

在本文中,我们提出了一种基于典型输入的一阶加死区时间(FOPDT)在线连续识别技术。由于脉冲试验的物理解释不复杂,因此在开始时进行评估是推断识别算法的基础。剩下的典型测试信号可以很容易地推断出来。这些测试程序导致一个数学公式允许同时在线识别时间延迟和FOPDT模型的参数。该方法采用s型函数进行卷积,增强了算法的鲁棒性。利用Levenberg-Marquardt算法解决了辨识问题。最后给出了数值模拟,验证了理论结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of first-order plus dead time using typical test signals
In this paper, we propose an online continuous identification technique of first-order plus dead time (FOPDT) using typical inputs. The impulse test is assessed at the beginning to deduce the basis of the identification algorithm, due to its uncomplicated physical interpretation. The remaining typical test signals are then inferred easily. These test procedures lead to a mathematical formulation allowing the simultaneous online identification of time delay and the parameters of FOPDT model. The robustness property of the proposed method is enhanced due to the convolution by the sigmoid function. The identification problem is solved using the Levenberg-Marquardt algorithm. Numerical simulations are given at last to illustrate the validity of the theoretical findings.
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