Fractional-order identification based on time domain methodology for hydraulic canal system

Gharab Saddam, V. F. Batlle, Juan Carlos Cambera
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Abstract

This paper discusses the identification of hydraulic canal system with a fractional-order model. The identification procedure is carried out by using a time domain technique. A pseudorandom binary signal (PRBS) is considered, the auto-correlation of the input signal, as well as, the impulsive response of the system has been concluded, and the obtained model are discussed in order to show the effect of using the PRBS signal in comparison with a fundamental step signal. Finally, we put the accent into the improvisation of the fractional-order model of the considered prototype that has a significant impact on improving the performance of canal monitoring, control, and supervisory systems.
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基于时域方法的水工管道系统分数阶辨识
本文用分数阶模型讨论了水工渠系的辨识问题。识别过程采用时域技术进行。考虑了一个伪随机二值信号(PRBS),对其输入信号的自相关性和系统的脉冲响应进行了分析,并对所得到的模型进行了讨论,以说明与基本阶跃信号相比,使用PRBS信号的效果。最后,我们将重点放在所考虑的原型的分数阶模型的即兴创作中,该模型对改善运河监测、控制和监督系统的性能具有重大影响。
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