Math Problem Statement

G_p=G_d=1/(2s^2+9s+2) G_f=G_m=1 G_c=2 y^' (s)=(G_p G_f G_c)/(1+G_p G_f G_c G_m ) y_sp^' Using OCTAVE do the following: Calculate the close-loop response for a unit step change and inverse response. (15) Find the poles and zeros (5) Plot the pzmap, impulse and step response (15) Find the partial fraction and the final inverse function

Solution

In Octave, you can perform the requested tasks step by step for the given transfer functions and system. Here's how to approach each part:

Given Data:

  • Gp=Gd=12s2+9s+2G_p = G_d = \frac{1}{2s^2 + 9s + 2}

  • Gf=Gm=1G_f = G_m = 1

  • Gc=2G_c = 2

  • The closed-loop transfer function is:

    dy(s)ds=GpGfGc1+GpGfGcGmysp(s)\frac{dy(s)}{ds} = \frac{G_p G_f G_c}{1 + G_p G_f G_c G_m} y_{sp}'(s)

This expression represents the closed-loop response, and we can solve it in Octave.

Step-by-step instructions:

1. Closed-loop response for a unit step change and inverse response:

You need to form the closed-loop transfer function and then compute the step response.

  1. First, define the transfer function in Octave.
octave
pkg load control % Load the control package if necessary % Define G_p as a transfer function s = tf('s'); G_p = 1 / (2*s^2 + 9*s + 2); G_f = 1; % Given G_f = 1 G_m = 1; % Given G_m = 1 G_c = 2; % Given G_c = 2 % Closed-loop transfer function sys_cl = (G_p * G_f * G_c) / (1 + G_p * G_f * G_c * G_m);
  1. Calculate the step response of the closed-loop system for a unit step input.
octave
% Step response step(sys_cl); title('Closed-loop Step Response');

For the inverse response, you can compute and plot the impulse response to examine the system behavior under such conditions.

octave
% Impulse response (for inverse response) impulse(sys_cl); title('Closed-loop Impulse Response');

2. Find the poles and zeros of the closed-loop transfer function:

You can use the following commands to find the poles and zeros.

octave
% Find poles and zeros of the closed-loop system poles = pole(sys_cl) zeros = zero(sys_cl)

3. Plot the Pole-Zero Map (pzmap), Impulse, and Step Responses:

To plot the pole-zero map, impulse response, and step response, use:

octave
% Plot pole-zero map pzmap(sys_cl); title('Pole-Zero Map'); % Plot step response figure; step(sys_cl); title('Closed-loop Step Response'); % Plot impulse response figure; impulse(sys_cl); title('Closed-loop Impulse Response');

4. Find the partial fraction and final inverse function:

To find the partial fraction expansion of the closed-loop transfer function:

octave
% Partial fraction expansion [r, p, k] = residue([num], [den]); % Replace [num] and [den] with the numerator and denominator of sys_cl % Display the partial fractions [r, p, k]

Finally, you can apply inverse Laplace to the partial fractions to obtain the time-domain function:

octave
% Inverse Laplace transform (manually from the partial fraction result, using standard formulas)

Tips:

  • Use tfdata to extract the numerator and denominator for the partial fraction expansion if necessary.
  • You can use symbolic computation for the inverse Laplace transform if you prefer a symbolic approach.

Questions for further exploration:

  1. How do the poles affect the system's stability in the closed-loop response?
  2. What is the significance of the pole-zero plot for understanding system dynamics?
  3. How would the system change if GcG_c had a different value?
  4. Can you explain the relationship between the impulse and step response in this system?
  5. How can we use the partial fraction decomposition to better understand system behavior?

Tip:

When analyzing control systems, pay close attention to pole locations, as they directly impact the system's stability and transient behavior.

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Math Problem Analysis

Mathematical Concepts

Control Systems
Laplace Transforms
Transfer Functions
Poles and Zeros
Partial Fractions

Formulas

Closed-loop transfer function: G_cl = (G_p * G_f * G_c) / (1 + G_p * G_f * G_c * G_m)
Laplace Transform
Inverse Laplace Transform
Partial Fraction Decomposition

Theorems

Pole-Zero Theorem
Final Value Theorem
Partial Fraction Theorem

Suitable Grade Level

Undergraduate-Level (Control Systems)