基于极值求法的多变量系统自适应解耦*

Amirreza Zaman, W. Birk, K. Atta, Martin Mörtsell
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引用次数: 1

摘要

尽管分散控制在性能上存在不足,但由于其易于设计和维护,仍然是工业上主要的控制策略。本文提出了一种基于极值寻求方法的MIMO过程在线解耦方案。应用该方法,首先利用相量极值法实时估计系统的回路相互作用,然后计算预补偿器矩阵,并通过最小化回路相互作用对过程进行增广。所提出的在线解耦方法是一种无模型的方法,只分析对象的输入和输出来提供分散控制协议。数值结果表明,该方法对于双输入双输出控制系统是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Decoupling of Multivariable Systems Using Extremum-Seeking Approach*
Decentralized control of MIMO system is still the dominating control strategy in industry for its ease in design and maintenance, despite its known shortcomings in performance. In this article, an online decoupling scheme of MIMO processes using an extremum-seeking approach is proposed. By applying the developed method, at first, the system's loop interactions are estimated in real-time using phasor extremum seeking, and then, a pre-compensator matrix is calculated and augmented to the process by minimizing the loop interactions. The presented online decoupling approach is a model-free method, and only the plant's inputs and outputs are analyzed to provide the decentralized control protocol. Numerical results provide the effectiveness of the developed method for a two-input, two-output (TITO) control system.
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