Matlab code for damping identification using energy ... - CFD4Aircraft
Matlab code for damping identification using energy ... - CFD4Aircraft
Matlab code for damping identification using energy ... - CFD4Aircraft
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The same procedure is used <strong>for</strong> the measurement from the ten accelerometers as<br />
⎧<br />
⎪⎨<br />
ẍ i (t) =<br />
⎪⎩<br />
ẍ 1i (t)<br />
ẍ 2i (t)<br />
ẍ 3i (t)<br />
ẍ 4i (t)<br />
ẍ 5i (t)<br />
ẍ 6i (t)<br />
ẍ 7i (t)<br />
ẍ 8i (t)<br />
ẍ 9i (t)<br />
ẍ 10i (t)<br />
⎫<br />
⎪⎬ ⎪⎨<br />
=<br />
⎪⎭<br />
⎧<br />
⎪⎩<br />
u 1i<br />
u 2i<br />
u 3i<br />
u 4i<br />
u 5i<br />
u 6i<br />
u 7i<br />
u 8i<br />
u 9i<br />
u 10i<br />
⎧<br />
⎫⎪ ⎬ ⎪⎨<br />
sin(ω i t)+<br />
⎪ ⎭<br />
⎪⎩<br />
v 1i<br />
v 2i<br />
v 3i<br />
v 4i<br />
v 5i<br />
v 6i<br />
v 7i<br />
v 8i<br />
v 9i<br />
v 10i<br />
⎫⎪ ⎬<br />
⎪ ⎭<br />
cos(ω i t) (15)<br />
or<br />
ẍ i (t) =u i sin(ω i t)+v i cos(ω i t) (16)<br />
so that velocities and displacements can be calculated by analytical integration as<br />
ẋ i (t) = 1 ω i<br />
(−u i cos(ω i t)+v i sin(ω i t)) (17)<br />
x i (t) =− 1 ω 2 i<br />
(u i sin(ω i t)+v i cos(ω i t)) (18)<br />
400<br />
300<br />
Measured<br />
Sine-fit<br />
200<br />
Acceleration ( m/s 2)<br />
100<br />
0<br />
−100<br />
−200<br />
−300<br />
0 0.001 0.002 0.003 0.004 0.005 0.006 0.007 0.008 0.009 0.01<br />
Time (s)<br />
Figure 7: Typical measured and sine-fit acceleration, DOF 1<br />
Using these expressions <strong>for</strong> <strong>for</strong>ces and velocities allows the analytical calculation of the integrals<br />
in eq. (11) avoiding problems due to numerical integration and with the precise measurement<br />
of the period T too. For the case where the single frequency excitation is at frequency<br />
ω i and all the measurements are fitted to harmonic functions at the same frequency only, the<br />
period T i is simply<br />
T i = 2π<br />
(19)<br />
ω i<br />
6