摘要
从模糊控制器量化因子入手,对其进行了深入的分析,提出了一种智能型的模糊控制器结构。其中,智能调节器使量化因子随控制不同阶段而动态变化。文中对智能调节器的设计过程作了介绍,并对两个被控对象分别用基本模糊控制器和基于智能调节器的模糊控制器的控制效果进行了分析比较。仿真例子证明了智能模糊控制器的有效性。
The quantification factors in the fuzzy controller are studied in this paper. A fuzzy controller with intelligence is proposed. In this controller,the quantification factor dynamically adjusts accoring to the different stage of the controlling process. The design of the intelligent adjuster is introduced. Two plant examples are given which compare using the basic fuzzy controller(BFC) with Fuzzy Controller with Intelligence(FCI) Simulation results show that the method presented in this paper is effective.
出处
《计算机仿真》
CSCD
2003年第9期95-97,共3页
Computer Simulation
