三容系统的智能神经网络模糊控制研究  

Study of Intelligent Neuro-fuzzy Network Control of Three-tank System

作　　者：朱海荣[1] 杨奕[1] 姜平[1] 周根荣[1] 

机构地区：[1]南通大学

出　　处：《电气传动》2007年第7期46-49,共4页Electric Drive

基　　金：南通大学自然科学基金(05Z049)

摘　　要：三容系统是一个多输入、多输出、时变、强耦合的非线性实验系统,其液位控制算法的研究有着非常重要的实际意义。鉴于其高度非线性和复杂性,目前还没有很好的控制策略对其实现精确控制。结合模糊控制技术和神经网络技术各自的优点,提出用智能神经网络模糊控制器对其进行控制,实验结果证明了该控制器的可行性,取得了较好的控制效果。Three-tank system is an experimental system of multi-input, multi-output, time-varying, strongly coupling and nonlinear system, so the research of its liquid level control is of great practical significance. Because of the characteristics of high non-linearity and complexity of the system, there is no good way to control the system. Combining of excellence of fuzzy control and neural network, an intelligent fuzzy logic controller based on neural network was proposed for the system. The results demonstrate the feasibility of the design which obtains good effect.

关 键 词：三容系统 非线性 神经网络模糊控制 计算机仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]