| 控制系统故障诊断的模糊神经网络方法研究 |
| |
| 引用本文： | 吕子健,陈政,吕延辉,郑德来,权太范.控制系统故障诊断的模糊神经网络方法研究[J].航天控制,2005,23(4):4-8. |
| |
| 作者姓名： | 吕子健 陈政 吕延辉 郑德来 权太范 |
| |
| 作者单位： | 1. 哈尔滨工业大学电子与信息技术研究院,哈尔滨,150001
2. 北京航天自动控制研究所,北京,100854 |
| |
| 摘 要： | 控制系统的不确定故障诊断是目前尚未解决的问题。传统的神经网络方法和模糊推理方法为解决这一类故障诊断问题提出了一些算法。然而上述两种方法难以提高不确定故障诊断的性能。为此本文结合模糊理论的推理能力和神经网络学习的能力提出模糊神经网络故障检测方法。该算法同时具备模糊理论的处理不确定和不准确信息的能力和神经网络的自学习能力。本文结果应用到某运载火箭控制系统的故障诊断,仿真结果表明,本算法有效,较好地解决了控制系统不确定故障诊断问题。
|
| 关 键 词： | 模糊神经网络 故障诊断 控制系统 |
| 文章编号： | 1006-3242(2005)04-0004-05 |
| 修稿时间： | 2005年3月30日 |
Research on Method of Fault Diagnosis in Control System Based on Fuzzy Neural Network |
| |
| Lu Zijian,Chen Zheng,Lu Yanhui,Zheng Delai,Quan Taifan.Research on Method of Fault Diagnosis in Control System Based on Fuzzy Neural Network[J].Aerospace Control,2005,23(4):4-8. |
| |
| Authors: | Lu Zijian Chen Zheng Lu Yanhui Zheng Delai Quan Taifan |
| |
| Institution: | Lu Zijian1 Chen Zheng2 Lu Yanhui1 Zheng Delai1 Quan Taifan1 1. The Institute of Electronics and Information Technology of HIT,Harbin 150001 2. Beijing Aerospace Automatic Control Institute,Beijing 100854 |
| |
| Abstract: | The undecided fault in control system is a problem that has not been solved. The traditional methods using neural network and fuzzy reasoning provide some algorithms to this problem. But it is difficult to improve the performance of fault diagnosis in the field above. In this paper, a method based on both fuzzy theory and neural network is put forward. This method combines the capability of fuzzy reasoning in settling uncertain and imprecise information and the capability of neural networks in learning from examples. The simulation result and the application of this method in the launch vehicle control system verify the efficiency of the algorithm. |
| |
| Keywords: | Fuzzy neural network Fault diagnosis Control system |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
