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Need a lumped lossy transmission line (L, R and G) that can be coupled (Lm)

NickW

Hi,

I'm looking for a PSpice transmission line part that includes resistance, inductance, conductance (between the conductors) and also mutual inductance between multiple transmission lines.

I can't use TLOSSY because its behavior is unstable under certain conditions that I need to simulate (e.g. 1 Meg Ohm resistor in series with one of the inputs simulating a break in the circuit). To my understanding, the distributed transmission line TLOSSY (and T) use an equation to relate the ports to each other (they are not actually electrically connected).

TLUMPx would be an ideal choice, except that the Kcouple2 won't couple TLUMPx's together (I think Kcouple2 works with the distributed transmission lines T and TLOSSY only).

 T2coupled, T3coupled, etc... look promising, but I can see only a single field for mutual inductance Lm, and I need different values of Lm for different combinations of pairs of lines. I also need to couple 6 lines to each other, whereas T5coupled (couples 5 lines) is the highest in the TLINE library.

I've been working on this for several days and need to come up with a solution soon. Any suggestions will be gratefully received!

Is there a PSpice part that will model L, R, G and Lm? Or will I have to create a new custom part?

Thank you,

Nick

Parents
  • Try a web search for Spice simulation of lumped transmission lines, I found a paper by Dhaene and De Zutter, "Selection of Lumped Element Models for Coupled Lossy Transmission lines", there were many other results, this paper discusses the simulatiuon issues encountered with such models and this paper, or another, may provide a usable solution to your modelling problem.
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  • Try a web search for Spice simulation of lumped transmission lines, I found a paper by Dhaene and De Zutter, "Selection of Lumped Element Models for Coupled Lossy Transmission lines", there were many other results, this paper discusses the simulatiuon issues encountered with such models and this paper, or another, may provide a usable solution to your modelling problem.
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