Dynamics of Machines - Part II - IFS.pdf
Dynamics of Machines - Part II - IFS.pdf
Dynamics of Machines - Part II - IFS.pdf
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zini = U c + A ⇒ c = U −1 {(zini − A)} (68)<br />
Summarizing, below is the analytical solution <strong>of</strong> a second order differential equation, which is<br />
responsible for describing the displacements and velocities <strong>of</strong> the coordinates y1(t) and y2(t) in<br />
time domain, as a function <strong>of</strong> the excitation force and the initial condition <strong>of</strong> displacement and<br />
velocity:<br />
z(t) = C1u1e λ1t + C2u2e λ2t + C3u3e λ3t + C4u4e λ4t + Ae iωt<br />
where<br />
<br />
λ1 = −ξ1ωn1 − ωn1 1 − ξ2 1 · i<br />
<br />
and u1<br />
λ2 = −ξ1ωn1 + ωn1 1 − ξ2 1 · i<br />
<br />
and u2<br />
λ3 = −ξ2ωn2 − ωn2 1 − ξ2 2 · i<br />
<br />
and u3<br />
λ4 = −ξ2ωn2 + ωn2 1 − ξ2 2 · i and u4<br />
⎧<br />
⎪⎨<br />
⎪⎩<br />
C1<br />
C2<br />
C3<br />
C4<br />
A = [jωA + B] −1 f<br />
⎫<br />
⎪⎬<br />
= [ u1 u2 u3 u4 ]<br />
⎪⎭<br />
−1 { zini − A}<br />
Numerical Solution – The numerical solution <strong>of</strong> the system <strong>of</strong> differential equations can be<br />
found by using the approximation according to Taylor’s expansion. Thus, one equation can be<br />
approximated by:<br />
f(t) ⋍ f(t0) + df<br />
<br />
<br />
<br />
<br />
dt<br />
t=t0<br />
(t − t0) + d2 f<br />
dt 2<br />
<br />
<br />
<br />
<br />
t=t0<br />
(t − t0)... + dn f<br />
dt n<br />
<br />
<br />
<br />
<br />
t=t0<br />
(69)<br />
(t − t0) (70)<br />
Assuming a very small time step t −t0 ≪ 1, the higher order terms <strong>of</strong> eq.(71) can be neglected.<br />
It turns:<br />
f(t) ⋍ f(t0) + df<br />
<br />
<br />
<br />
<br />
dt<br />
t=t0<br />
(t − t0) (71)<br />
Knowing the initial conditions <strong>of</strong> the movement, when t = t0 = 0,<br />
y(0) = y0<br />
y1(0)<br />
y2(0)<br />
<br />
=<br />
y1ini<br />
y1ini<br />
<br />
35<br />
(72)