DocumentCode :
661084
Title :
Satellite attitude active FTC based on Geometric Approach and RBF Neural Network
Author :
Baldi, Pierre ; Castaldi, Paolo ; Mimmo, N. ; Simani, Silvio
Author_Institution :
Dipt. di Ing. dell´Energia Elettr. e dell´Inf. Guglielmo Marconi, Univ. di Bologna, Forli, Italy
fYear :
2013
fDate :
9-11 Oct. 2013
Firstpage :
667
Lastpage :
673
Abstract :
This paper proposes a novel satellite attitude Active Fault Tolerant Control System. The Active Fault Tolerant Control System is based on a Fault Detection and Diagnosis module providing fault estimates decoupled from the aerodynamic disturbance thanks to the application of the NonLinear Geometric Approach. The diagnosis module is a bank of adaptive filters based on a Radial Basis Function Neural Network. The controller reconfiguration exploits directly the on-line estimates of the fault signals. To the authors´ knowledge, the joint use of the NonLinear Geometric Approach and Radial Basis Function Neural Network is not present in literature. The use of a Radial Basis Function Neural Network allows to design generalized fault estimation filters which do not need any a priori information about the fault internal model. The use of the NonLinear Geometric Approach allows to obtain very accurate fault estimates, independently from the knowledge of the aerodynamic disturbance parameters. Extensive simulation results based on a detailed nonlinear satellite attitude model embedding disturbance description are given. The obtained results highlight that the proposed satellite Active Fault Tolerant Control System can deal with reaction wheel faults of different types (i.e. step faults, ramp faults, sinusoidal faults) thus obtaining good attitude control performances.
Keywords :
adaptive filters; aerodynamics; artificial satellites; attitude control; fault tolerant control; neurocontrollers; RBF neural network; adaptive filters; aerodynamic disturbance; aerodynamic disturbance parameters; fault detection module; fault diagnosis module; fault signals; generalized fault estimation filters; geometric approach; nonlinear geometric approach; radial basis function neural network; reaction wheel faults; satellite attitude active FTC; satellite attitude active fault tolerant control system; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Fault-Tolerant Systems (SysTol), 2013 Conference on
Conference_Location :
Nice
Type :
conf
DOI :
10.1109/SysTol.2013.6693907
Filename :
6693907
Link To Document :
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