基于神经元网络的浓调系统的容错控制策略

Fault-tolerant control strategy based on neural nerworks for the pule desity control system

以造纸机浓度控制系统为背景，分析传感器失效时的故障模式，通过单个神经元的自适应能力克服传感器失效或环境干扰，实现系统的最佳运行．

Based on the pule desity control system of paper machine,this paper analyses the failuit model of the sensor failure. By means of self--adaptive of single neuron,the sensor failure and enviorment interference can be overcomed and systen optimal run can be reserved.