基于圆盘区域极点分类的故障诊断与可靠控制
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引用本文:李默臣1,姚 波1 ,王福忠2.基于圆盘区域极点分类的故障诊断与可靠控制[J].计算技术与自动化,2021,(1):1-6
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作者单位
李默臣1,姚 波1 ,王福忠2 (1.沈阳师范大学 数学与系统科学学院辽宁 沈阳 110034
2. 沈阳工程学院 基础部辽宁 沈阳 110036) 
中文摘要:针对一类不确定线性定常系统,基于圆形区域,研究了执行器单一部件故障诊断与可靠控制的问题。首先,形成针对系统故障的极点分类数据库。同时为解决闭环系统极点信息难以观测的问题,给出了全维状态观测器设计方法,实现了对极点信息的实时观测。其次,根据不同通道发生故障时,极点所处区域不同的特点,应用支持向量机(SVM)对系统进行故障诊断,并依据故障诊断结果实现对系统的精准可靠控制。最后结合数例仿真对提出的设计方案进行可行性评估。
中文关键词:支持向量机  故障诊断  可靠控制  执行器故障  极点分类
 
Fault Diagnosis and Reliable Control Based on Pole Classification in Disk Region
Abstract:To a class of uncertain linear time-invariant system, in terms of the circular region, the problem of fault diagnosis and reliable control of actuator single component is studied. Firstly, a pole classification database for system faults is formed. At the same time, in order to solve the problem that the pole information of closed-loop system is difficult to observe, the design method of full dimensional state observer is given , realized the real-time observation of pole information. Secondly, according to the characteristics of different regions where the poles are located when faults occur in different channels, support vector machine (SVM) is applied to fault diagnosis of the system, and the accurate and reliable control of the system is realized according to the fault diagnosis results. Finally, numerical example illustrate the design method is feasible and effective.
keywords:support vector machine  fault diagnosis  reliable control  actuator fault  pole classification
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