BULETINUL INSTITUTULUI POLITEHNIC DIN IAŞI - Universitatea ...

130 Mihăiță Horodincă
For certain experimental purposes the AEP evolution can be numerical
filtered using a sliding average low pass filter described with the equation:
p xin[
i]
xout[
j]
= ∑ where: p is the filter parameter, xin[i] - the input signal, xout[j]
i=
1 p
- the output signal, both in numerical format, j=i+p. Figure 5 shows the result
of filtering for AEP evolution given in Fig.4 (with p=10).
Also is presented the filtered evolution of REP in the same experimental
conditions. As it is well known from the electrical network theory, the variation
of REP (1,036 VAR peak to peak) is smaller than the AEP variation (4,805 W).
The evolution of AEP during a third experiment is described in Fig. 6.
There is a dynamic behaviour with negative absorbed AEP. Before A, the
gearbox moves in steady-state idle running regime on 1600 rpm (using Kd2
kinematic chain with MC2 clutch engaged). In A the clutch MC3 is engaged
(and MC2 is automatically switched-off), so Kd2 becomes active and Kd1
inactive. Here occurs a transitory regime B, with negative AEP (the angle φ >
π/2, see Eq. (1)), for a short time the EDM works as a brake, it convert the
Fig. 6 – Clutching dynamics with negative AEP.
available kinetic energy from gearbox in electrical energy (with a total amount
of 0.464 W·h) delivered on the electrical network. After that the AEP increases
with an overshoot in C, the generator becomes again electric motor. In D the
steady-state on 1000 rpm is installed. In E the MC3 clutch is switched-off, so
just the shaft I is driven. The AEP consumption in steady-state idle regime is
smaller than in Fig.4 because of the gearbox heating (the viscosity of the
lubricant so the viscous friction decreases).