摘要
当控制系统的参数发生跳变故障时，系统的性能往往会恶化，甚至会引起系统不稳定。本文讨论了当线性定常系统出现参数跳变故障时的一种容错控制方法。故障检测采用神经网络实现，而容错控制器则采用控制器重构方式设计。仿真结果表明该方法是有效的。
The abrupt changes of system parameters often cause the system to behave hadly,even can cause the system to line its stability. In thes paper,a new approach of fault-tolerant control against the abrupt changes of parameters of linear bine-invariant systems is proposed. The fault-detector consists of some neural networks and the fault-tolerant controller is designed in the way of controller-reconfiguration. Satisfactory simulation results presented reveal that thes approach is effective.
出处
《西南交通大学学报》
EI
CSCD
北大核心
1996年第4期440-444,共5页
Journal of Southwest Jiaotong University
基金
国家自然科学基金
关键词
线性定常系统
容错控制
故障检测
控制系统
linear time-invariant systems
abrupt change of system parameter
faulttolerant control
controller-reconfiguration
fault-detection
neural network
