| 模糊RBF神经网络在锅炉水位控制中的应用 |
| |
| 引用本文： | 刘敏,马军爽. 模糊RBF神经网络在锅炉水位控制中的应用[J]. 微计算机信息, 2006, 22(25): 56-58 |
| |
| 作者姓名： | 刘敏 马军爽 |
| |
| 作者单位： | 063000,河北,唐山,唐山学院 |
| |
| 摘 要： | 水位控制是工业锅炉控制系统中一个重要的环节,其控制质量的优劣直接影响到锅炉的安全和经济效益。本文将一种基于模糊RBF神经网络的PID控制器应用与工业锅炉水位的控制当中,它结合了传统PID以及神经网络和模糊控制的优点,可以在线调整得到一组最优的PID控制参数。仿真结果表明这种控制器具有较好的适应性,控制效果得到明显改善。
|
| 关 键 词： | 锅炉水位 模糊神经网络 PID控制 参数调整 |
| 文章编号： | 1008-0570(2006)09-1-0056-03 |
| 修稿时间： | 2006-01-08 |
RBF Fuzzy Neural Network in Boiler''''s Water Control |
| |
| Liu Min,Ma Junshuang. RBF Fuzzy Neural Network in Boiler''''s Water Control[J]. Control & Automation, 2006, 22(25): 56-58 |
| |
| Authors: | Liu Min Ma Junshuang |
| |
| Abstract: | The automated control of the steam package water level is a very important factor in industrial boiler production systems. The quality of the control will affect the safety and efficiency of the boiler. This article presents a controller which is based on Fuzzy Neural Networks and PID control in industrial boiler' s water level. This controller which combines the advantages of the Fuzzy con-trol and Neutral Networks control can get the best PID parameters by self-adjustment on line. The simulation study proves that this control system has a better adaptability and can improve the control effect greatly. |
| |
| Keywords: | boiler' s water level Fuzzy Neural network PID control Parameter adjustment |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
