CIFERÂ®-MATLAB Interfaces: Development and ... - Cal Poly

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place. To date no major discrepancy has been observed in the overall results generated by CIFER ® . Several tests were conducted to locate a more exact cause of the error. The first method was to create a case in MATLAB using the interface functions and then create a second identical case (except in name) the traditional way from within CIFER ® . From here the frequency response results could be extracted and compared. This was how the error was initially discovered. Comparisons of the errors in magnitude and phase were plotted as shown in Figure 3.2, which revealed that slightly larger errors occurred at high or low frequency, regions that tend to exhibit low coherence. The trend was not completely true in all cases, but most plots tended to exhibit that behavior. Several different cases including the XV-15 data, Shadow 200 data (Figure 3.2), UH-60 simulation data, and an example mass-spring-damper system were examined in this manner, with the results generally being the same. Figure 3.2 is a plot of the percent error; as such, it can be seen that these errors are small in magnitude. 24
Figure 3.2: Percent Error Comparisons In order to determine if the error was originating in MATLAB, another set of tests was conducted. First, a case was set up in CIFER ® and run (using different case names) in CIFER ® and in MATLAB. Then, an identical case was constructed in MATLAB and again run in CIFER ® and MATLAB. The results compared identically between either set of cases created using the same program. However, comparison of any combination of cases from differing setup methods resulted in the minuscule numeric error. When overlaid in a plot, there was no visual difference in the plots and thus no significant discrepancy between the two methods of creating a case. The origin of the error was not located, but suspected to result from MATLAB’s use of double precision. The conclusion was that, unless time permitted, or more significant discrepancy between results was found, the problem would be considered minor. For the most part, the errors occurred in 25
Page 1 and 2: CIFER ® -MATLAB Interfaces: Develo
Page 3 and 4: Approval Page TITLE: AUTHOR: CIFER
Page 5 and 6: Acknowledgements The author would l
Page 7 and 8: 4.4 ANALYSIS ON SHADOW 200 TUAV....
Page 9 and 10: Figure 4.21: Comparisons with Exact
Page 11 and 12: Chapter 1: Introduction The focus o
Page 13 and 14: 1.1.1 What CIFER ® Encompasses CIF
Page 15 and 16: Figure 1.3: Doublet Example (UAV Fl
Page 17 and 18: One almost universal concern with t
Page 19 and 20: involving handling qualities analys
Page 21 and 22: One key feature of frequency respon
Page 23 and 24: and high-frequency content is captu
Page 25 and 26: Thus the low-frequency content of l
Page 27 and 28: consistency by reconstructing respo
Page 29 and 30: Chapter 3: Programming and Code Dev
Page 31 and 32: interpret it, how to condition it,
Page 33: Figure 3.1: Name-value Pairs and St
Page 37 and 38: command-line-based interface that r
Page 39 and 40: 3.2.1 Development Process The most
Page 41 and 42: The third screen is used to match w
Page 43 and 44: Chapter 4: Validation and Applicati
Page 45 and 46: Figure 4.2: SISO Mass-Spring-Damper
Page 47 and 48: 4.3 UH-60 Simulation The first in-d
Page 49 and 50: The differences between the two cal
Page 51 and 52: Table 4.3: Cutoff Frequency Results
Page 53 and 54: Two sets of data were used: one was
Page 55 and 56: Figure 4.14: Roll Angle to Rate Com
Page 57 and 58: The same checks were run on the fli
Page 59 and 60: Figure 4.20: Vertical Velocity Pert
Page 61 and 62: Figure 4.22: Aileron - Roll Rate Re
Page 63 and 64: CIFER ® offers a utility for analy
Page 65 and 66: La Length: Lm = [4.14] N τ a Time
Page 67 and 68: UAV might conceivably achieve bandw
Page 69 and 70: FRESPID and MISOSA have been create
Page 71 and 72: Bibliography Works Cited: 1.) Hamel
Page 73 and 74: Appendix A: Screen Layout Compariso
Page 75 and 76: New GUI Interface: Figure A6: MATLA
Page 77 and 78: Figure A10: MATLAB GUI: Final Scree
Page 79 and 80: CIFER ® main programs The three ma
Page 81 and 82: out_f = frespid('XVLATSWP',1); >> o
Page 83 and 84: The variables that support screen 8
Page 85 and 86:
as input and up to five outputs to
Page 87 and 88:
All the information is displayed to
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to either the linearized phase and
Page 91 and 92:
CIFER ® support utilities: Three f
Page 93 and 94:
Appendix C: Online Help for Main Pr
Page 95 and 96:
id.maxfft SCREEN 9 id.plotopt id.pl
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[out] = composite('TEST',2,'casenam
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misosa Structure fields are: casena
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Function: cifhq Description: This f
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the results will be displayed in th
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in.source SCREEN 2 in.pminfrq in.pm
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cifarith Structure fields are: name
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and magnitude must be included. Oth
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c_in.outputs(1) c_in.frcalc(1,1) c_
Page 113:
% Set up blank composite case c_in
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