Generalized framework for decoupler design

Shubham Khandelwal, K. Detroja
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引用次数: 5

Abstract

With the benefits of suppressing the interaction effects in a multivariable system, the decoupling control brings in several other challenges and difficulties. For TITO processes, the decoupling control remains simple and has been demonstrated in the earlier works. But as the dimensionality of the system increases, the complexities in the decoupling control blows up differently for various decoupling schemes. Therefore, the TITO decoupling framework cannot be simply extended to higher dimensional processes for all decoupling control design methodologies. In this paper, we present a generalized framework for decoupler design for an «-dimensional multivariable system. This work also highlights the challenges and difficulties involved in the decoupler design for higher dimensional systems. Simulations have been carried out to verify how well the decoupling schemes work in suppressing the interaction effects. Further, robustness of the decoupling schemes against plant-model mismatch has been tested by evaluating various performance indices.
解耦设计的广义框架
解耦控制在具有抑制多变量系统相互作用的优点的同时,也带来了一些挑战和困难。对于TITO过程,解耦控制仍然很简单,并且已经在早期的工作中得到了证明。但随着系统维数的增加,解耦控制的复杂性随解耦方案的不同而不同。因此,TITO解耦框架不能简单地扩展到所有解耦控制设计方法的高维过程。在本文中,我们提出了一个广义的框架,用于一个多维多变量系统的解耦设计。这项工作还突出了高维系统解耦设计所涉及的挑战和困难。通过仿真验证了解耦方案在抑制相互作用方面的效果。此外,通过评估各种性能指标,验证了解耦方案对植物模型失配的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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