Abstract
This paper suggests a novel diagnosis scheme for detection, isolation and estimation
of faults affecting satellite reaction wheels. Both spin rate measurements and actuation torque
defects are dealt with. The proposed system consists of a fault detection and isolation module
composed by a bank of residual filters organized in a generalized scheme, followed by a fault
estimation module consisting of a bank of adaptive estimation filters. The residuals are decoupled
from aerodynamic disturbances thanks to the Nonlinear Geometric Approach. The use of Radial
Basis Function Neural Networks is shown to allow design of generalized fault estimation filters,
which do not need a priori information about the faults internal model. Simulation results with
a detailed nonlinear spacecraft model, which includes disturbances, show that the proposed
diagnosis scheme can deal with faults affecting both reaction wheel torques and flywheel spin
rate measurements, and obtain precise fault isolation as well as accurate fault estimates.
Original language | English |
---|---|
Book series | I F A C Workshop Series |
Volume | 48 |
Issue number | 21 |
Pages (from-to) | 194–199 |
ISSN | 1474-6670 |
DOIs | |
Publication status | Published - 2015 |
Event | IFAC Safeprocess'15 - Paris, France Duration: 2 Sep 2015 → 4 Sep 2015 |
Conference
Conference | IFAC Safeprocess'15 |
---|---|
Country | France |
City | Paris |
Period | 02/09/2015 → 04/09/2015 |
Keywords
- Fault diagnosis
- Geometric approaches
- Neural networks
- Actuators
- Sensors
- Satellite control applications