Luenberger observer-based sensor fault detection: online application to DC motor

Authors : Alkan ALKAYA, İlyas EKER

Pages : 363-370

Doi:10.3906/elk-1203-84

View : 16 | Download : 9

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Fault detection and diagnosis insert ignore into journalissuearticles values(FDD); are very important for engineering systems in industrial applications. One of the most popular approaches is model-based fault detection. Recently, many techniques have been proposed in the FDD area. However, there are still very few reported applications or real-time implementations of the schemes. This paper presents online sensor FDD based on the model-based approach using a Luenberger observer and experimental application on a permanent magnet DC motor. Different kinds of faults are simulated on the motor and experiments are performed to detect the faults. The experimental results demonstrate that this approach could significantly detect the time and size of the faults.
Keywords : Fault detection, observer, DC motor, experimental application