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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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