摘要
本文通过系统地分析模糊控制和神经网络控制系统的结构、算法等问题,探讨了把模糊控制和神经网络控制技术结合起来的理论与实现,用神经网络的层和节点分别对应模糊系统的各个部分,将模糊控制规则和隶属函数隐含地分布在整个网络中,用神经网络实现模糊推理,以神经网络的在线自学习能力实现模糊控制规则的改变。设计了模糊神经网络,并应用到冷冻水泵变频调控制系统中,实现了水泵电机的转速智能控制。
In this paper, systematic analysis of fuzzy control and neural network control system structure, algorithms and other issues.Discusses combining the theory and implementation of the fuzzy control and neural network control, using neural network layer＇and node corresponding to every parts of fuzzy systems. T And the fuzzy control rules and membership functions implicitly distributed across the network.Fuzzy inference using self-learning ability of neural networks to realize the change of fuzzy control rule.Designed a fuzzy neural networks which is applied to the chilled water pump control system.The method realizes the pump motor speed control.
出处
《科技广场》
2010年第1期23-25,共3页
Science Mosaic
