1 Jun
2007
1 Jun
'07
11:44 a.m.
Erik de Castro Lopo wrote:
I can't really comment on the fact that the problem is the generation of
the input signal. Although... (see later)
The non-linear nature of the circuit doesn't matter that much. In
transient simulations there is no circuit linearization performed, it
simulates the nonlinear behavior pretty good. When solving the
differential equations they can be linearized, but that shouldn't affect
the results in a well-designed and well-configured algorithm.
Pieter Palmers wrote:
There is a significant difference between the various
spice-like tools
(hspice, eldo, spectre, pspice, pstar, ...). They all are based upon
berkley spice, but that's where it ends... they have evolved. Especially
with respect to solution algorithms and options they can differ a lot.
All spices I use (although this excludes ngspice)
Last time I looked ngspice was the same code base as the others, so
I assume no difference. have an option to
force them to calculate the response at specified timesteps (along with
the ones they need for accuracy). In this case it seems obvious to set
this timestep to 1/Fsample. Then use only the values at these timesteps.
This is way better than interpolation because the differential equations
are actually solved at these points.
That would be true except for one factor, the input signal that Robin
is trying to simulate is analogue. In addition, the Foxx fuzzbox that
Robin is trying to simulate is a non-linear device. The problems you get when doing a discrete time
simulation of non-linear
processes are mitigated as the sample rate is increased. Therefore, the
higher the sample rate the better.
Increasing the sample rate will of course help, but that is actually a
side effect, and doesn't guarantee you better results. It won't increase
the accuracy of the differential equation solution itself. It just
forces a smaller timestep.
The better way is to have the simulator choose the points it needs to
achieve a certain (predefined) accuracy. After all it is designed to
choose them in a sane manner. In order to combat the (re-)sampling
issues, you ask the simulator to also solve the equations in the
discrete sample points you need, such that you have the "exact" results
in these points.
This procedure comes down to asking the simulator to simulate a circuit
with a certain accuracy (both time- as value-wise) and additionally
having it generate the values for the timepoints you need.
Regarding the input signal:
What I would expect is that if you are able to specify the time points
that have to be calculated, and if the input samples are used to
calculate these timepoints, it should work rather good. The only thing
the intermediate values are used for is the calculation of the
derivatives, and some intermediate points that are discarded anyway. One
could argue that their value doesn't really matter that much as long as
the input value at a timepoint that is retained in the output is
correct. Probably a first-order hold (i.e. linear interpolation) will
already do fine.
Greets,
Pieter