摘要
油脂工业中常涉及到各种液位控制,以液位自动调节系统为研究对象,针对系统中存在的参数时变性、死区非线性等问题,设计了基于模糊神经网络的控制器.该模糊神经网络控制器增强了传统模糊控制的性能,可以实现在线和离线的自适应调节,改善了系统的动态响应特性.计算机仿真结果表明系统的控制精度、稳定性和对复杂工况的适应性都得到了显著提高.
Aiming at the problems such as time-variable parameters, nonlinear dead zone of the water auto-regulation system, a design of fuzzy control system based on fuzzy-neural network is presented. The controlling algorithm was improved by employing some intelligent methods. Self adjust online and offline was realized, and the system＇ s dynamic response performance was improved in the fuzzy-neural network control system （FNN）. Computer simulation shows improvements of the system in precision, stability, robustness and adaptability to complicated work condi- tions.
出处
《河南工业大学学报（自然科学版）》
CAS
北大核心
2006年第4期73-75,79,共4页
Journal of Henan University of Technology：Natural Science Edition
关键词
模糊控制
模糊神经网络
液位自动调节
仿真
fuzzy control
fuzzy-neural network
water auto-regulation
simulation
