CIFER®-MATLAB Interfaces: Development and ... - Cal Poly
CIFER®-MATLAB Interfaces: Development and ... - Cal Poly
CIFER®-MATLAB Interfaces: Development and ... - Cal Poly
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Table 4.6: Cutoff Frequencies via RMS<br />
Flight: Sim:<br />
AIL 4.82 4.43<br />
P 3.53 3.70<br />
ELE 7.03 6.82<br />
Q 5.62 4.87<br />
RUD 6.21 6.03<br />
R 2.53 3.89<br />
WHL 6.04 5.59<br />
R 2.53 3.83<br />
Beta .85 none<br />
The differences in the rudder <strong>and</strong> wheel output calculations between simulation <strong>and</strong> flight are<br />
greater. The phase slopes are different at the mode, which suggests the simulation is more highly<br />
damped. The outcome is surprising because the responses are very similar as shown in<br />
Figure 4.24. The primary difference is in the spike in the flight data around 2 rad/s, which is due<br />
to the poor coherence. When the output autospectrum is plotted, Figure 4.25, the difference<br />
between the flight <strong>and</strong> the simulation data is more pronounced. This is the data that is integrated<br />
in the RMS calculation. The plot of simulation data begins to roll off, losing energy, around 4<br />
rad/s, which corresponds to the frequency from Table 4.6. The flight data begins to roll off just<br />
above 2 rad/s, also corresponding to Table 4.6; these autospectrum plots are the source of the<br />
discrepancy in the table.<br />
Figure 4.24: Rudder to Yaw Rate Response<br />
Figure 4.25: Rudder Output Autospectrum<br />
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