Actuator Fault Diagnosis with Robustness to Sensor Distortion | Zendy

Qinghua Zhang | Zendy

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Actuator Fault Diagnosis with Robustness to Sensor Distortion

Author(s) -

Qinghua Zhang

Publication year - 2008

Publication title -

journal of control science and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.208

H-Index - 18

eISSN - 1687-5257

pISSN - 1687-5249

DOI - 10.1155/2008/723292

Subject(s) - robustness (evolution) , actuator , control theory (sociology) , redundancy (engineering) , nonlinear system , distortion (music) , fault detection and isolation , computer science , control engineering , total harmonic distortion , nonlinear distortion , engineering , electronic engineering , artificial intelligence , reliability engineering , voltage , control (management) , biochemistry , chemistry , amplifier , physics , quantum mechanics , gene , electrical engineering , cmos

Actuator fault diagnosis is often studied under strong assumptions on available sensors.Typically, it is assumed that the sensors are either fault free or sufficiently redundant. Thepurpose of this paper is to present a new method for actuator fault diagnosis which is robustto sensor distortion. It does not require sensor redundancy to compensate sensor distortion.The essential assumption is that sensor distortions are strictly monotonous. Despite thenonlinear and unknown nature of distortions, such sensors still provide useful informationfor fault diagnosis. The robustness of the presented diagnosis method is analyzed, as wellas its ability to detect actuator faults. A numerical example is provided to illustrate its efficiency

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