| 基于在线模糊聚类的故障检测和容错控制 |
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| 引用本文： | 朱利猛,齐瑞云. 基于在线模糊聚类的故障检测和容错控制[J]. 东南大学学报(自然科学版), 2011, 41(Z1): 156-159. DOI: 10.3969/j.issn.1001-0505.2011.S1.033 |
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| 作者姓名： | 朱利猛 齐瑞云 |
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| 作者单位： | 南京航空航天大学自动化学院,南京,210016 |
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| 基金项目： | 国家自然科学基金资助项目(60904042) |
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| 摘 要： | 提出了一种新的基于T-S模糊模型在线辨识的非线性系统的故障诊断与容错控制策略.在闭环控制中,根据在线产生的数据对T-S模糊模型进行辨识,当故障引起系统动态的结构性变化时,在线模糊聚类算法能够辨识出系统的重大改变并产生新的模糊规则描述系统新的动态,同时基于T-S模型的控制律也会做出相应的调整.分析了T-S模糊模型结构和参...
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| 关 键 词： | 在线模糊聚类 T-S模糊模型 故障诊断 容错控制 |
Fault detection and fault-tolerant control based on online fuzzy clustering |
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| Zhu Limeng,Qi Ruiyun. Fault detection and fault-tolerant control based on online fuzzy clustering[J]. Journal of Southeast University(Natural Science Edition), 2011, 41(Z1): 156-159. DOI: 10.3969/j.issn.1001-0505.2011.S1.033 |
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| Authors: | Zhu Limeng Qi Ruiyun |
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| Affiliation: | Zhu Limeng Qi Ruiyun (College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China) |
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| Abstract: | A novel fault detection and fault-tolerant control scheme based on online identification of T-S fuzzy model is proposed.In closed-loop control,the T-S fuzzy model is identified through the online generated data of a nonlinear plant.When a fault occurs,the online fuzzy clustering algorithm can detect it by generating new cluster centers,which form new fuzzy rules and change the structure of the control law to accommodate the effect of the fault.Simulation results of an inverted pendulum demonstrate the effec... |
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| Keywords: | online fuzzy clustering T-S fuzzy model fault diagnosis fault-tolerant control |
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