Title :
Robust fault detection using proportional integral observers
Author :
Shafai, B. ; Pi, C.T. ; Nork, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
The problem of model-based fault detection in control systems is discussed in this paper. The methodology is based oil the use of Proportional Integral Observer (PIO) which will simultaneously estimate the state of the system as well as the actuator or sensor fault. In this paper, we use the least square technique incorporated with PIO to deal with the situation when different types of disturbances appear in the system.
Keywords :
fault diagnosis; observers; Proportional Integral Observer; control systems; fault detection; least square; model-based; model-based fault detection; Actuators; Control systems; Electrical fault detection; Fault detection; Frequency; Least squares approximation; Observers; Robustness; Sensor systems; State estimation;
Conference_Titel :
Automation Congress, 2002 Proceedings of the 5th Biannual World
Print_ISBN :
1-889335-18-5
DOI :
10.1109/WAC.2002.1049489
