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.
出处
《控制与决策》
EI
CSCD
北大核心
1997年第3期228-233,共6页
Control and Decision
关键词
模糊模型
非线性控制
内模控制
fuzzy model, nonlinear control, internal model control
