Title :
Actuator fault detection in the re-entry phase of an RLV using Kalman filter
Author :
Laila, Beebi M. ; Naveen, N.S.
Author_Institution :
Dept. of Ind. Instrum. & Control, TKM Coll. of Eng., Kollam, India
Abstract :
This paper presents a model-based actuator fault detection system using Kalman filter. A Multiple model approach using bank of Kalman filters is applied here to model the various faults occurring in the actuators in Reusable Launch Vehicle (RLV). It focuses on the various actuator faults occurring in the in its descent phase. MATLAB is used to simulate the actuator failures.
Keywords :
Kalman filters; actuators; fault diagnosis; space vehicles; Kalman filter; RLV; actuator fault detection; multiple model approach; reentry phase; reusable launch vehicle; Actuators; Fault detection; Fault tolerance; Kalman filters; Mathematical model; Noise; Rotors; Actuator; MATLAB; RLV; fault detection; kalman filter; multiple model; residue;
Conference_Titel :
Control Communication and Computing (ICCC), 2013 International Conference on
Conference_Location :
Thiruvananthapuram
Print_ISBN :
978-1-4799-0573-7
DOI :
10.1109/ICCC.2013.6731676
