Signal Propagation in a Long Wire

Post on 06-Feb-2016

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We want to study the signal propagation in a wire of length l=10000 [m], having the resistance R, the inductance L and the capacitance C. At x=0 signals with the strength 1 [V] are sent during repeated time intervals of different lengths. Let’s denote this time-dependent input signal function by u0(t).The voltage U(x,t) in the wire is modeled by a hyperbolic PDE.Given the initial conditions and the boundary condition at x=0 the signal function is u0(t). At the other end x=l, the wire is open, i.e no signal is reflected but disappears out. The boundary condition fulfilling this condition is the advection equation We use the Finite Difference Method and discretize the x-axis into N intervals. We use the central difference approximations for the first and second order derivatives. To approximate the boundary condition at the right end try the upwind discretization (FTBS).For the wire the following parameter values are used: R=0.004 [Ω], L= [H] and C= [F].We try N=100 and N=200. We compute the signal propagation during a few milliseconds with the maximum time-step fulfilling the stability condition and also with a time-step being 70 percent of this.The code has been written in Matlab.

Transcript of Signal Propagation in a Long Wire

KTH Course: Applied Numerical methods Team members

Professor: Lennart Edsberg Andreas Angelou

Paul Evans

Vasileios Papadimitriou

Daniel Tepic

Dionysios Zelios

I.C : ( ,0) 0u x ( ,0) 0u

xt

0 x l

0 x l

B.C : X=0

X=L

2 2

2 2

1u R u u

t L dt LC x

1( , ) ( , ) 0

u ul t l t

t xLC

0 ( ) 1u t [V]

0.004[ ]R 610 [ ]L H 80.25 10 [ ]C F

(N+1) grid-points

Discretization of x-axis into N intervals:

Finite Difference Method

first and second order derivatives:

Central difference approximations

Approximation of the right end of B.C:

Upwind discretization (FTBS)

1 1 1 1

1 1

2 2

2 21

2

n n n n n n n n

i i i i i i i iR

t L t LC x

u u u u u u u u

1

1 1

1( 2 ( 1) )

1

n n n n

i i i i

a

au u u u

2

2

1 ( )

( )

ta

LC x

2

t R

L

65 10t s

N=100 grid-points

N=100 grid-points

N=100 grid-points

N=100 grid-points

62.5 10t s

N=200 grid-points

N=200 grid-points

N=200 grid-points

N=200 grid-points

Taylor expansion

N=100-

N=200

Greater interval for finding stability

Without Taylor expansion

N=100-

N=200

Experimental values

N=100-

N=200

Approximation method stability max

N=100

N=200

65.025 10t 62.506 10t

67.0711 10t 63.5355 10t

64.9962 10t 62.4991 10t

65 10t 62.5 10t

N=100 grid-points

N=100 grid-points