Thesis - Leigh Moody.pdf - Bad Request - Cranfield University

Chapter 9 / Performance
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9.3 PN Performance
The simulation cases when referring to PN and CLOS performance against
targets 3 (crossing) and 7 (weave) are listed in Being clear in context, the
use of the identifier (SO), and the observer kinematic type have been
dropped. At this stage sensor error states are not included in the filter – this
being an alternative to calibrating the IMU whilst the missile is in the
launcher. On-line bias, misalignment and scale factor is made possible due
to measurement duality and shaped trajectories. The ideal is a combination
of both, characterising the IMU biases before launch which are then fixed,
and estimating the IMU scale factors and other sensor errors in-flight.
Table 5-1 at the end of §9.4. The 1 st column in this table identifies the
simulation case referred to in the text. The 2 nd column is the data file name
for configuration purposes.
Z [km]
5
4
3
2
1
0
8
6
4
Y [km]
2
9-7
0
-2
0
2
X [km]
Parameters 2,3,4
Parameters 5,6,7
Figure 9-3 : Missile ATPN Track ( Target Trajectory 3 )
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6