摘要
由于实际的复杂工业过程常常具有强非线性、不确定性、多变量以及工况变化频繁等特点,很难建立其精确的数学模型描述,使得传统控制难以达到理想的控制效果。根据目标函数选择模糊模型的结构,提出了一种非线性系统模糊建模新方法,以系统的输入和输出量试验数据为依据,确定其模糊规则,建立了系统的模糊模型。其次,将时域H_∞辨识方法应用于非线性系统的模糊建模中,使得由干扰到估计误差的最大能量增益达到最小。实例表明该方法具有一定得可行性。
Due to the complexity and uncertainty of the actual industrial process as well as the strong-coupling condition,it is difficult to establish the precise mathematical models and achieve the desired performance. A new method using nonlinear fuzzy modeling based on fuzzy objective functions for model selection is proposed. The input and output data of the system is used to determine the fuzzy rules and establish the fuzzy model. H_∞ identification method in time domain is applied to non-liner system of fuzzy modeling which minimizes the largest energy gain from the interference to the estimation error. It shows that this method is feasible in industrial applications.
出处
《机械设计与制造》
北大核心
2009年第9期224-226,共3页
Machinery Design & Manufacture
关键词
非线性系统
控制
模糊模型
系统辨识
Non-liner system
Control
Fuzzy model
System identification
