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Control structure selection based on relative interaction decomposition

机译:基于相对交互分解的控制结构选择

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This paper presents a unified framework for control structure selection of multivariable processes. On the basis of structure decomposition, all interaction transmitting channels to an individual control loop from all the other closed loops are decoupled and represented by elements of the decomposed relative interaction array (DRIA). Utilizing the decoupled interactions from both inputs and outputs, a decomposed relative gain array (DRGA) is constructed. DRGA is then employed to evaluate the overall interactions to individual control loop from another one. Consequently, the synthesis of the control structure can be evaluated in a straightforward manner by using a relative control performance index (RCPI). A simple Cai-He (C-H) diagram is proposed to facilitate control structure selection procedure. Two examples are presented to illustrate the advantages of the proposed approach.
机译:本文为多变量过程的控制结构选择提供了一个统一的框架。在结构分解的基础上,所有从其他所有闭合回路到单个控制回路的相互作用传递通道均被解耦,并由分解的相对相互作用数组(DRIA)的元素表示。利用来自输入和输出的解耦的相互作用,构造了分解的相对增益阵列(DRGA)。然后,使用DRGA评估与另一个控制回路之间的整体交互作用。因此,可以通过使用相对控制性能指数(RCPI)以直接方式评估控制结构的综合。提出了一个简单的Cai-He(C-H)图,以简化控制结构的选择过程。给出两个例子来说明所提出方法的优点。

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