Complete the code to define the damping ratio variable.
damping_ratio = [1]The damping ratio for a typical second-order system is often between 0 and 1. Here, 0.5 represents an underdamped system.
Complete the code to define the natural frequency variable.
natural_frequency = [1]The natural frequency is a positive value representing how fast the system oscillates without damping. 10 rad/s is a reasonable choice.
Fix the error in the transfer function definition by completing the blank.
sys = tf([natural_frequency**2], [1, 2*[1]*natural_frequency, natural_frequency**2])
The transfer function denominator uses the damping ratio variable to define the system's damping effect.
Fill both blanks to simulate the step response and plot it.
t, y = step(sys, [1]) plot(t, y) xlabel('[2]')
The step function uses a time vector from 0 to 5 seconds with 0.01 increments. The x-axis label should be descriptive like 'Time (seconds)'.
Fill all three blanks to create a dictionary of system parameters with keys 'zeta', 'wn', and 'type'.
params = {'[1]': damping_ratio, '[2]': natural_frequency, '[3]': 'second_order'}The standard keys for second-order system parameters are 'zeta' for damping ratio, 'wn' for natural frequency, and 'type' for system type.
