The control algorithm research of the warp tension based on neural network

摘要：

This paper put forward to use neural network control algorithm to control warp tension, and introduced the single neuron control method and multi-neuron control method respectively. And first proposes a modeling method that fits non-linear system with multiple single neuron models, introduction of multi-model reference trajectory to acquire a new multi-model prediction control. Then use the SIMULINK of MATLAB to simulate. The transition time of system which based on multi-neuron PID control is about 0.5s, and there is no overshoot exists, system stability, and multineuron PID controller has a better control effect.

关键词： algorithm neural network warp tension single neuron multi-neuron

作者: Lei Li Jiancheng Yang Yongli Zhao Yan Liu Liangchao Cong

作者单位: School of Mechanical and Electronic Engineering Tianjin Polytechnic University Tianjin 300160, China School of Mechanical and Electronic Engineering Tianjin Polytechnic University Tianjin 300160, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 3096-3100

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）