Load disturbance response in Simulink - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to simulate the load disturbance response in Simulink.

Simulink

sim('load_disturbance_model', [1])

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A'20'

B'30'

C'40'

D'10'

Attempts:

3 left

💡 Hint

Common Mistakes

Using too short simulation time like 10 seconds.

Forgetting to put the simulation time as a string.

The simulation time is set to 20 seconds to observe the load disturbance response clearly.

2fill in blank

medium

Complete the code to add a step disturbance input at 5 seconds.

Simulink

disturbance = stepinput('Step', 'Time', [1], 'Amplitude', 1);

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A5

B3

C7

D10

Attempts:

3 left

💡 Hint

Common Mistakes

Setting disturbance time too early like 3 seconds.

Using a time value not matching the simulation duration.

The disturbance step is applied at 5 seconds to observe the system's reaction.

3fill in blank

hard

Fix the error in the code to correctly plot the load disturbance response.

Simulink

plot(simout.time, [1].signals.values);

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Adisturbance

Bload_response

Csimout

Dresponse

Attempts:

3 left

💡 Hint

Common Mistakes

Using the disturbance variable instead of the response.

Using the simulation output object directly without accessing signals.

The variable load_response contains the system output to plot against time.

4fill in blank

hard

Fill both blanks to create a dictionary of response times and overshoot values.

Simulink

response_metrics = [1](time=load_response.time, [2]=load_response.signals.values);

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Adict

Blist

Covershoot

Dvalues

Attempts:

3 left

💡 Hint

Common Mistakes

Using a list instead of a dictionary.

Using incorrect keys like 'overshoot' instead of 'values'.

We use a dictionary to map 'time' to the time vector and 'values' to the response values.

5fill in blank

hard

Fill all three blanks to filter response values greater than 0.5 and create a new dictionary.

Simulink

filtered_response = {k: v for k, v in response_metrics.items() if v[1] [2] and k [3] 'values'}

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A>

B0.5

C!=

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using equality instead of inequality for filtering.

Mixing up key and value in the condition.

This comprehension keeps items where the value is greater than 0.5 and the key is not 'values'.