摘要
针对含有未知但有界噪声的线性系统,利用基于凸多面体的集员滤波算法进行故障诊断策略研究;针对不同故障类型设计集员滤波器,通过求解基于无故障模型的集员滤波器状态可行集进行故障检测.采用模型去伪的思路进行故障隔离,即在故障发生后寻找唯一当前状态可行集不为空的集员滤波器,其对应的故障类型即为故障隔离结果.通过实例仿真分析得出,所提出方法可完成对不同类型故障的诊断,具有可行性.
For the linear systems with unknown but bounded noises, set membership algorithm based on convex ploytope is used to complete fault diagnosis. Set membership filters are designed according to different faults, sovling the state feasible set of the set membership filter based on the normal model, and checking whether or not it is empty to finish fault detection. At the same time, a way of ＂model falsification＂is used to accomplish fault isolation, which is aiming to find the only set membership filter that is not null. The simulation analysis shows the feasibility of the proposed method for different types of fault diagnosis.
出处
《控制与决策》
EI
CSCD
北大核心
2018年第1期150-156,共7页
Control and Decision
基金
国家自然科学基金项目(61573167
61572237)
中央高校基本科研业务费专项资金项目(JUSRP51510)
高等学校博士学科点专项科研基金项目(20130093110011)
江苏省普通高校学术学位研究生科研创新计划项目(KYLX16_0775)
关键词
故障诊断
故障隔离
集员
凸多面体
fault diagnosis
fault isolation
set membership
convex ploytope
