problems with using the laplace transform
6 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Eliraz Nahum
el 28 de Dic. de 2018
Comentada: Star Strider
el 30 de Dic. de 2018
hello everyone,
I am trying to plot a system response (y(t)) to an input of u(t)=t*1(t).
The laplace transform of u(t) is U(s)=L{u(t)}= 1/(s^2).
The system is represented in terms of transfer function G(s) = 2/(s^3+5*s^2+4*s+2);
I am trying to create Y(S)=G(s)*U(s) and then convert it to the time domain by ilaplace(Y(s)).
I can't understand why it doesn't work. I get an error:
please help...
clear all
close all
clc
syms t y1(t) s Y1(s)
G_cl_1=2/(s^3+5*s^2+4*s+2);
Y1=G_cl_1*(1/(s^2)); %Finding the Output y(t) while using Laplace Transform
y1=ilaplace(Y1); %Converting Y1(s) to the time space using Opposite Laplace Transform
ezplot (y1)
0 comentarios
Respuesta aceptada
Star Strider
el 28 de Dic. de 2018
First, specify ‘Y1’ and ‘y1’ as functions in your code.
Second, use the vpa function to simplify ‘y1’ so ezplot (or fplot) can plot it.
syms t y1(t) s Y1(s)
G_cl_1=2/(s^3+5*s^2+4*s+2);
Y1(s) = G_cl_1*(1/(s^2)); %Finding the Output y(t) while using Laplace Transform
y1(t) = ilaplace(Y1, s, t); %Converting Y1(s) to the time space using Opposite Laplace Transform
y1 = vpa(y1)
ezplot (y1, [-3 -1])
That works for me. (I specified the limits for ezplot to provide a representative part of the curve. Choose whatever limits you want.)
2 comentarios
Star Strider
el 30 de Dic. de 2018
As always, my pleasure.
Using:
y1 = vpa(y1, 10)
(to make the constants a bit more tractable without losing significant precision), I get:
y1(t) =
t + 0.008162161899*exp(-4.152757602*t) + 1.991837838*exp(-0.423621199*t)*cos(0.5496842464*t) - 0.222527365*exp(-0.423621199*t)*sin(0.5496842464*t) - 2.0
Does that come closer to what you are expecting? To create an anonymous function from it, use the matlabFunction function.
(I am using R2018b. There could be differences with older versions.)
Más respuestas (0)
Ver también
Categorías
Más información sobre Mathematics and Optimization en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!