How to visualise feedback function?
numA = [0.1];
denomA = [1 0];
C = tf(numA, denomA)
numB = [1];
denomB = [1 1];
G = tf(numB, denomB)
s = tf(‘s’);
R = 10/s
My task is to write an M-file to find and plot the response of the following system to an input signal of R(s) = 10/s.
However, I am unable to understand the function of different parameters in the FUNCTION called feedback().
One thing I understood is that it is a closed negative loop, therefore I won’t have to add 1 at the last parameter which is for positive feedback loop.
Hence, I am unsure whether to use one of these for the final output:
Given that R(s) = 10/s.
I am thinking between:
system1 = (C,G)
step(R*system1)
system2 = (C*G,1,-1)
step(R*system2)
What is the difference between system1 and system 2? Both are closed loops. In system 1, C and G are two different models. In system 2, C and G are treated as one model by mutliplying with unity being the other model.
What is the visual difference between system1 and system2? What am I doing wrong?numA = [0.1];
denomA = [1 0];
C = tf(numA, denomA)
numB = [1];
denomB = [1 1];
G = tf(numB, denomB)
s = tf(‘s’);
R = 10/s
My task is to write an M-file to find and plot the response of the following system to an input signal of R(s) = 10/s.
However, I am unable to understand the function of different parameters in the FUNCTION called feedback().
One thing I understood is that it is a closed negative loop, therefore I won’t have to add 1 at the last parameter which is for positive feedback loop.
Hence, I am unsure whether to use one of these for the final output:
Given that R(s) = 10/s.
I am thinking between:
system1 = (C,G)
step(R*system1)
system2 = (C*G,1,-1)
step(R*system2)
What is the difference between system1 and system 2? Both are closed loops. In system 1, C and G are two different models. In system 2, C and G are treated as one model by mutliplying with unity being the other model.
What is the visual difference between system1 and system2? What am I doing wrong? numA = [0.1];
denomA = [1 0];
C = tf(numA, denomA)
numB = [1];
denomB = [1 1];
G = tf(numB, denomB)
s = tf(‘s’);
R = 10/s
My task is to write an M-file to find and plot the response of the following system to an input signal of R(s) = 10/s.
However, I am unable to understand the function of different parameters in the FUNCTION called feedback().
One thing I understood is that it is a closed negative loop, therefore I won’t have to add 1 at the last parameter which is for positive feedback loop.
Hence, I am unsure whether to use one of these for the final output:
Given that R(s) = 10/s.
I am thinking between:
system1 = (C,G)
step(R*system1)
system2 = (C*G,1,-1)
step(R*system2)
What is the difference between system1 and system 2? Both are closed loops. In system 1, C and G are two different models. In system 2, C and G are treated as one model by mutliplying with unity being the other model.
What is the visual difference between system1 and system2? What am I doing wrong? matlab, matlab function, system, control, transfer function MATLAB Answers — New Questions