摘要
张力控制过程是一个具有随机性、时变性和耦合性的复杂过程。本文采用了一个具有五层的模糊神经网络控制系统,通过利用神经网络的学习能力来优化模糊逻辑的规则以及比例因子的调整,以实现期望的恒张力最优控制,仿真结果表明该控制方法的良好效果。
Tension control is a very complex process which is random,time-variant and coupling. This paper adopts five layers of fuzzy neural network control. The study ability of the neural network is used to optimize logical rules and adjust proportional gene. Simulation performed to the tension control system indicates that it is optimal.
出处
《轻工机械》
CAS
2006年第4期102-105,共4页
Light Industry Machinery
关键词
张力控制
模糊神经网络
PID控制
tension control
fuzzy neural network control
PID control
