CIFER®-MATLAB Interfaces: Development and ... - Cal Poly
CIFER®-MATLAB Interfaces: Development and ... - Cal Poly
CIFER®-MATLAB Interfaces: Development and ... - Cal Poly
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Figure 4.20: Vertical Velocity Perturbations,<br />
Flight Data<br />
Figure 4.21: Comparisons with Exact 1/s<br />
Value<br />
4.4.2 RMS <strong>and</strong> crossover comparisons:<br />
CIFER ® has utilities which calculate the root mean squared (RMS) value <strong>and</strong> some h<strong>and</strong>ling<br />
qualities metrics for a given frequency response. The results of these calculations can be<br />
compared to h<strong>and</strong>ling qualities specifications such as those laid out in MIL-STD 1797A 9 or the<br />
Neal-Smith Criteria 10 . The values between both simulation <strong>and</strong> flight data can be compared to<br />
check consistency of the simulation. Additionally, RMS calculations can be made on the time<br />
history data <strong>and</strong> compared to the equivalent frequency domain RMS values.<br />
The first check was a comparison between flight <strong>and</strong> simulation full-range RMS values for<br />
control inputs <strong>and</strong> output responses from the main on-axis channels. These results are tabulated in<br />
Table 4.4. It should be noted that RMS values are based on the input or output autospectrum for a<br />
given response <strong>and</strong> are a measure of the energy or excitation of the system.<br />
49