\ The online models based fault tolerant control for multiple sensor fault of multi-variable nonlinear processes

被引：0

作者：

Bo, Cuimei ^{[1
]}

Wang, Zhiquan ^{[2
]}

Lin, Jinguo ^{[1
]}

Zhang, Shi ^{[1
]}

Zhang, Guangming ^{[1
]}

机构：

[1] Nanjing Univ Technol, Coll Automat, Nanjing 210009, Jiangsu, Peoples R China

[2] Nanjing Univ Technol, Dept Automat, Nanjing 210009, Jiangsu, Peoples R China

来源：

2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 | 2006年

关键词：

fault-tolerant control; BP neural network model; multi-variable process;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The online Model-based fault diagnosis and tolerant (FDT) control for nonlinear system under multiple sensor failures are investigated in the paper. In the close-loop control system, faults may be propagated and they can caus a malfunction of the loop. A control loop failure can easily cause production stoppage or malfunction at the plant level. The fault diagnosis and the accommodation of multiple sensor failures in online situations. The simulation results in a three-tank benchmark problem show the effectiveness and fastness of the proposed FDT framework.

引用

页码：936 / +

页数：2

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