基于u模型的气流装置在线辨识

E. Hasan, Rosdi bin Ibrahim, S. Ali, HassanSabo Miya, Syed Faizan Gilani
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引用次数: 5

摘要

工业过程中的一个关键挑战是实时系统识别。这促使人们对基于模型的自适应识别方法进行了大量的研究。它们的主要优点是系统参数可自适应在线调整。提出了一种基于自适应u型模型的气流装置在线辨识方法。最近开发的模型是基于多项式结构的。它能自适应地对不确定的系统参数进行在线调整。u模型方法在系统辨识方面显示出良好的效果。仿真验证了该方法的有效性。基于u型模型的控制策略是面向控制的,可以很容易地开发出有效的控制策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
U-Model based online identification of Air Flow Plant
A key and critical challenge in Industrial processes is real-time system identification. This has prompted a lot of research efforts towards the development of model based adaptive identification methods. Their key advantage is that system parameters are tuned adaptively and online. This paper proposes online identification of Air Flow Plant using adaptive U-Model. The recently developed model is based on a polynomial structure. It adaptively corresponds to uncertain system parameters to adjust them online. U-Model method has shown promising results in terms of system identification. The proposed method is verified by simulation. Being control oriented in nature, an effective control strategy based upon U-Model can easily be developed.
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