【摘要】：工業(yè)運(yùn)行過程的動(dòng)態(tài)模型由底層設(shè)備層被控對象的動(dòng)態(tài)模型和上層運(yùn)行層生產(chǎn)過程的動(dòng)態(tài)模型兩部分組成.針對一類強(qiáng)耦合工業(yè)運(yùn)行過程,提出了基于數(shù)據(jù)采樣的最優(yōu)解耦控制方法.該方法在底層設(shè)備層,將基于數(shù)據(jù)采樣的控制問題轉(zhuǎn)化為時(shí)變時(shí)滯系統(tǒng)的穩(wěn)定性問題,基于Lyapunov-Krasovskii函數(shù),給出了基于數(shù)據(jù)采樣的狀態(tài)反饋控制器參數(shù).由于底層設(shè)備層采樣使得上層運(yùn)行層的動(dòng)態(tài)模型為既有連續(xù)信號(hào)又有離散信號(hào)的混雜模型,因此在上層運(yùn)行層,首先將混雜模型離散化,然后針對離散化后的運(yùn)行過程廣義模型,采用解耦控制與最優(yōu)跟蹤控制相結(jié)合的方法設(shè)計(jì)最優(yōu)解耦控制器.通過數(shù)值例子的仿真對比實(shí)驗(yàn)說明了所提方法的有效性.
[Abstract]:The dynamic model of industrial operation process consists of two parts: the dynamic model of the controlled object in the underlying equipment layer and the dynamic model of the production process in the upper layer. An optimal decoupling control method based on data sampling is proposed for a class of strongly coupled industrial processes. The control problem based on data sampling is transformed into the stability problem of time-varying time-delay systems in the underlying device layer. Based on the Lyapunov-Krasovskii function, the parameters of the state feedback controller based on data sampling are given. The dynamic model of the upper layer is a hybrid model with both continuous and discrete signals, so in the upper layer, the hybrid model is discretized first. Then an optimal decoupling controller is designed by combining decoupling control with optimal tracking control for the discrete generalized model of running process. The effectiveness of the proposed method is illustrated by a numerical example.
【作者單位】： 東北大學(xué)流程工業(yè)綜合自動(dòng)化國家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61573090)
【分類號(hào)】：O231
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本文編號(hào)：2389125