Robust Observer-Based Fault Detection via Evolutionary Optimization with Applications to Wind Turbine Systems

Yongjia Zhu, Zhiwei Gao

Research output: Contribution to conferenceOtherpeer-review

13 Citations (Scopus)

Abstract

In this paper, a robust fault detection filter is designed for a 3MW wind turbine system. The parameter eigenvalue assignment approaches and evolutionary optimal algorithms are integrated to seek optimal observer gain such that the residual signal is sensitive to the fault, but robustness against the disturbances. From all the simulations, the performance of fault detections is satisfactory.
Original languageEnglish
Publication statusPublished - 9 Jun 2014
EventIEEE 9th Conference on Industrial Electronics and Applications (ICIEA) - Hangzhou
Duration: 9 Jun 2014 → …
http://www.ieeeiciea.org/2014/

Conference

ConferenceIEEE 9th Conference on Industrial Electronics and Applications (ICIEA)
Period9/06/14 → …
Internet address

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