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基于小波变换的神经网络容错控制研究

         

摘要

提出了一种基于小波变换的网络容错控制器,并把该容错控制器嵌入正常控制系统中.基于小波变换的故障检测器实时进行检测,无故障时采用常规控制器;检测出有故障发生时,就激活容错控制器自动替代原控制器,维持系统的正常运行,并进行了仿真试验.%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.

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