Fault Reconstruction using a Takagi-Sugeno Sliding Mode Observer for the Wind Turbine Benchmark

被引：0

作者：

Poeschke, Florian ^{[1
]}

Georg, Soeren ^{[2
]}

Schulte, Horst ^{[2
]}

机构：

[1] Tech Univ Clausthal, Inst Elect Power Engn IEE, Clausthal Zellerfeld, Germany

[2] HTW Berlin, Dept Engn 1, Control Engn, Berlin, Germany

来源：

2014 UKACC INTERNATIONAL CONFERENCE ON CONTROL (CONTROL) | 2014年

关键词：

Fault diagnosis; fault isolation; sliding mode observer; wind turbines; renewable energy systems; DIAGNOSIS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a Takagi-Sugeno sliding mode observer is designed to detect, isolate and reconstruct three different sensor faults and an actuator fault in a specified wind turbine benchmark problem. An extension of the discontinuous observer term using a weighted combination of gains responsible for establishing the sliding motion is proposed. The weights are equivalent to the membership functions of the Takagi-Sugeno (TS) model of the wind turbine. This approach enables new design possibilities for sliding mode observer if the matrices of each local model of the TS model differ significantly. The effectiveness of the design approach is demonstrated by simulation results for fault scenarios defined in the wind turbine benchmark.

引用

页码：456 / 461

页数：6

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