J
Joel Kolstad
- Jan 1, 1970
- 0
Those of you who simulate things like passive LC filters... when you want a
simulation that includes the finite Q effect of the inductor, do you tend to
use a model that computes the equivalent parallel resistance, Rloss, based on
the Q specified on a data sheet at a given frequency (and then use that at
*all* frequencies of your simulation, effectively creating Q(freq) )? Or do
you simply specify Q and then use that at all frequencies (creating
Rloss(freq) )?
For the following, assume you first calculated Rloss at a frequency f0:
The actual Q of an inductor varies with sqrt(freq) until you start approaching
self-resonance, so assuming Q is fixed, you underestimate Q above f0 and
overestimate below f0. Using just Rloss, you overestimate below f0 and
underestimate above f0.
---Joel
simulation that includes the finite Q effect of the inductor, do you tend to
use a model that computes the equivalent parallel resistance, Rloss, based on
the Q specified on a data sheet at a given frequency (and then use that at
*all* frequencies of your simulation, effectively creating Q(freq) )? Or do
you simply specify Q and then use that at all frequencies (creating
Rloss(freq) )?
For the following, assume you first calculated Rloss at a frequency f0:
The actual Q of an inductor varies with sqrt(freq) until you start approaching
self-resonance, so assuming Q is fixed, you underestimate Q above f0 and
overestimate below f0. Using just Rloss, you overestimate below f0 and
underestimate above f0.
---Joel