本文關(guān)鍵詞： 化工過程控制 大時滯系統(tǒng) 最小二乘辨識 逆解耦技術(shù) 自抗擾控制　出處：《自動化學(xué)報》2017年06期 　論文類型：期刊論文

【摘要】：化工生產(chǎn)是一類典型的多變量過程對象,該類對象具有時變性、耦合性、時滯性等特點,傳統(tǒng)的單變量控制方法很難在此類系統(tǒng)中取得良好的控制效果.針對時變性,本文在假設(shè)對象模型未知的前提下,利用階躍響應(yīng)數(shù)據(jù),研究了基于最小二乘的一階、二階時滯系統(tǒng)辨識方法.針對多變量系統(tǒng)存在耦合性的特點,采用逆解耦方法實現(xiàn)對象的解耦.再對解耦后的時滯子系統(tǒng)設(shè)計了自抗擾控制器.仿真實驗中,以精餾塔的Wood-Berry模型和Ogunnaike-Ray模型為例,驗證了算法的有效性.
[Abstract]:Chemical production is a kind of typical multivariable process object, which has the characteristics of time-varying, coupling, time-delay and so on. The traditional single-variable control method is difficult to obtain good control effect in this kind of system. In this paper, based on the assumption that the object model is unknown and the step response data are used, the identification method of first-order and second-order time-delay systems based on least squares is studied. The inverse decoupling method is used to realize the decoupling of the object, and then the active disturbance rejection controller is designed for the decoupled time-delay subsystem. In the simulation experiment, the Wood-Berry model and the Ogunnaike-Ray model of the distillation column are taken as examples to verify the validity of the algorithm.
【作者單位】： 南開大學(xué)計算機與控制工程學(xué)院;天津市智能機器人重點實驗室;
【基金】：國家自然科學(xué)基金(61573199,61573197) 天津市自然科學(xué)基金(14JCYBJC18700)資助~~
【分類號】：TP273;TQ053.5
，

本文編號：1556265