文献类型：期刊文献

中文题名：基于模糊模型的非线性通用模型控制

英文题名：Nonlinear Common Model Control Based on Fuzzy Model

作者：齐永亮[1];郭丙君[1]

机构：[1]华东理工大学信息学院,上海200237

年份：2008

卷号：29

期号：12

起止页码：35

中文期刊名：自动化仪表

外文期刊名：Process Automation Instrumentation

收录：CSTPCD

语种：中文

中文关键词：通用模型控制;模糊控制;逆控制;一般模型控制;模糊规则

外文关键词：Common model control Fuzzy control Inverted control Generic model control Fuzzy rules

摘要：通用模型控制是一种有效的非线性控制方法,但该方法的应用条件是过程一阶微分模型必须要有显式解。为了克服这一局限性,提出一种基于模糊模型的通用模型控制策略,将非线性过程模型应用逆系统的方法在控制算法中直接嵌入过程模型,从而保证了通用模型控制策略的可实现性。该控制器参数物理意义明显,整定方便,仿真结果表明了该控制策略的有效性和鲁棒性。
Common model control （CMC） is an effective nonlinear control method, but its application condition requests explicit solution for the first order differential model of the process. In order to overcome this limitation, a common model control strategy based on fuzzy model is proposed, by adopting inverted system method, the nonlinear process model can be directly embedded into process model, thus the implementation of the common model control strategy is ensured. The parameters of CMC feature explicit physical meaning, and they are easy to tune, the result of simulation indicates that the control strategy is effective and robust.