基于模糊模型的非线性内模控制策略研究  

Nonlinear Internal Model Control Based on Fuzzy Model

作　　者：金晓明[1] 荣冈[1] 王树青[1] 

机构地区：[1]浙江大学工业控制研究所

出　　处：《控制与决策》1997年第3期228-233,共6页Control and Decision

摘　　要：针对一类非线性动态过程提出了基于模糊模型的非线性内模控制算法(NFIMC)。NFIMC控制器包括逆模糊模型控制器和滤波器。过程的模糊模型和逆模糊模型均可由模糊辨识获得。CSTR的仿真结果表明:该算法可以对强非线性过程实现有效控制,并且具有结构简单、计算效率高等优点,有利于在线应用。This paper describes a novel algorithm of nonlinear internal model control based on fuzzy model for SISO processes. The controller consists of a model inverse controller and a robust filter. The fuzzy model and its inverse fuzzy model can be obtained by fuzzy identification. Simulation results for CSTR process show the strategy is effective to control strong nonlinear process. The proposed algorithm with simple construction and fast computation can be used on-line.

关 键 词：模糊模型 非线性控制 内模控制 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]