河北科技大学学报2011，Vol.32Issue(6)：567-570,4.
基于小波变换的神经网络容错控制研究
Study on fault-tolerant controller based on wavelet transform compensatory network
陈军霞 1孙幸成2
作者信息
- 1. 河北科技大学经济管理学院,河北石家庄 050018
- 2. 石家庄铁道大学外语系,河北石家庄050043
- 折叠
摘要
Abstract
For non-failure-type fault, the application of wavelet transform theory is used to detect faults. This paper presents a new way to design fault-tolerant controller based on fuzzy neural network, and the controller is embedded in the normal control system. The system has two modes: fault-detector based on wavelet transform in real-time detection> namely common controller is used when system is normal; when it has detected faults, fault-tolerant controller is activated automatically to replace the original controller. Simulation results show that the fault-tolerant control approach has high detection efficiency.关键词
小波变换/自适应滤波/容错控制/执行器故障Key words
wavelet transform/adaptive filters fault-tolerant /actuator failure分类
信息技术与安全科学引用本文复制引用
陈军霞,孙幸成..基于小波变换的神经网络容错控制研究[J].河北科技大学学报,2011,32(6):567-570,4.
