DocumentCode :
3483204
Title :
Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator
Author :
Gadsden, S. Andrew ; Song, Yuning ; Habibi, Saeid R.
Author_Institution :
Dept. of Mech. Eng., McMaster Univ., Hamilton, ON, Canada
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
5152
Lastpage :
5159
Abstract :
This paper studies the mathematical modeling of an electrohydrostatic actuator (EHA) for the purpose of fault detection and diagnosis. A relatively new model-based fault detection strategy referred to as the interacting multiple model and smooth variable structure filtering method (IMM-SVSF) is applied on an experimental apparatus. The results of this application are compared with the popular Kalman filter based strategy (IMM-KF), and recommendations are made for future research.
Keywords :
actuators; electrohydraulic control equipment; fault diagnosis; filtering theory; electrohydrostatic actuator; experimental apparatus; fault diagnosis; interacting multiple model; mathematical modeling; model-based fault detection strategy; smooth variable structure filtering method; Actuators; Estimation; Friction; Mathematical model; Noise; Noise measurement; Probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6315450
Filename :
6315450
Link To Document :
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