多变量逆解耦自抗扰控制及其在精馏塔过程中的应用

发布时间：2018-03-02 11:09

  本文关键词： 化工过程控制 大时滞系统 最小二乘辨识 逆解耦技术 自抗扰控制　出处：《自动化学报》2017年06期 　论文类型：期刊论文

【摘要】：化工生产是一类典型的多变量过程对象,该类对象具有时变性、耦合性、时滞性等特点,传统的单变量控制方法很难在此类系统中取得良好的控制效果.针对时变性,本文在假设对象模型未知的前提下,利用阶跃响应数据,研究了基于最小二乘的一阶、二阶时滞系统辨识方法.针对多变量系统存在耦合性的特点,采用逆解耦方法实现对象的解耦.再对解耦后的时滞子系统设计了自抗扰控制器.仿真实验中,以精馏塔的Wood-Berry模型和Ogunnaike-Ray模型为例,验证了算法的有效性.
[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.
【作者单位】： 南开大学计算机与控制工程学院;天津市智能机器人重点实验室;
【基金】：国家自然科学基金(61573199,61573197) 天津市自然科学基金(14JCYBJC18700)资助~~
【分类号】：TP273;TQ053.5
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本文编号：1556265