| 基于补偿模糊神经网络的氧乐果合成控制研究 |
| |
| 引用本文： | 郑晓茜,李连荣,邵帅飞.基于补偿模糊神经网络的氧乐果合成控制研究[J].农机化研究,2012,34(5):75-78. |
| |
| 作者姓名： | 郑晓茜 李连荣 邵帅飞 |
| |
| 作者单位： | 1. 郑州职业技术学院电气电子工程系,郑州,450021
2. 机械工业第六设计研究院,郑州,450007 |
| |
| 摘 要： | 针对氧乐果合成反应过程温度具有时变、延时等非线性特性,研究了补偿模糊神经网络控制系统。首先确定了补偿模糊神经网络的初始结构和初始参数,再通过动态调整补偿的改进BP算法来调整参数,实现温度的实时控制。仿真结果表明:补偿模糊神经网络控制系统收敛速度快、适应性强,在温度控制方面取得了比较满意的控制效果。
|
| 关 键 词： | 氧乐果 模糊控制 补偿算子 模糊神经网络 |
Research on Omethoate Synthesis Control Based on Compensatory Fuzzy Neural Network |
| |
| Zheng Xiaoxi
,
Li Lianrong
,
Shao Shuaifei.Research on Omethoate Synthesis Control Based on Compensatory Fuzzy Neural Network[J].Journal of Agricultural Mechanization Research,2012,34(5):75-78. |
| |
| Authors: | Zheng Xiaoxi Li Lianrong Shao Shuaifei |
| |
| Institution: | 1.Dept of Electrical and Electronic Engineering,ZhengZhou Technical College,Zhengzhou 450021,China;2.NO.6 Institute of Project Planning & Research of Machineer Industry,Zhengzhou 450007,China) |
| |
| Abstract: | A new type controller of compensatory fuzzy neural network is presented I to control the temperature of Omethoate synthetic process,which exist time-varying,time-delay and nonlinear characteristics.First,initial structure and parameters of compensatory fuzzy neural would be determined,and then adjust the parameters by the dynamic adjustment compensation of the improved BP algorithm to control real time temperature.The results of simulation prove that the superiority of CFNN,which has the advantage of shorting training time and strong adaptability.it requires satisfactory effect. |
| |
| Keywords: | omethoate fuzzy control compensatory operator fuzzy neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
