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Time Response Analysis MCQs for Electrical Engineering (EE) Exam

It covers all Important Questions with answers on Time Response Analysis for the Electrical Engineering (EE) exam. The questions are based on important topics. Details about the questions:
  • Topic: Time Response Analysis
  • Type of Questions: MCQs with solutions
  • Number of Questions: 50
  • You can attempt them on EduRev to score high in Electrical Engineering (EE) exam.

The steady-state error of a feedback control system with an acceleration input becomes finite in a
  • a)
    type-3 system
  • b)
    type-2 system
  • c)
    type-1 system
  • d)
    type-0 system
Correct answer is option 'B'. Can you explain this answer?

Raj Choudhary answered
Steady state error with an acceleration input having an amplitude of A is given by

where, 
Hence, if the type of the system = 2, then Ka = some non-zero value or finite value due to which we will get some finite vaiue of Ka.

The time required for the response curve to reach and stay within the specified 2-5% of final value is referred to as :
  • a)
    Peak time
  • b)
    Rise time
  • c)
    Settling time
  • d)
    Peak overshoot time
Correct answer is option 'C'. Can you explain this answer?

Imtiaz Ahmad answered
The correct answer is option 3): Settling time
Concept:
  • The time that is required for the response to reach and stay within the specified range (2% to 5%) of its final value is called the settling time.

 
  • Peak Time. It is the time required for the response to reach the peak value for the first time. It is denoted by tp.
  • The time is defined as "the time required for the response to rise from x% to y% of its final value", with 0% to 100% rise time common for underdamped second order systems, 5% to 95% for critically damped and 10% to 90% for overdamped ones.
  • Peak time (tp) is simply the time required by response to reach its first peak i.e. the peak of first cycle of oscillation, or first overshoot. On differentiating the expression of c(t)

How can the steady state error can be reduced?
  • a)
    By decreasing the type of the system
  • b)
    By increasing the input 
  • c)
    By decreasing the static error constant
  • d)
    By increasing system gain
Correct answer is option 'D'. Can you explain this answer?

From the above table, it is clear that for type – 1 system, a system shows zero steady-state error for step-input, finite steady-state error for Ramp-input and ∞ steady-state error for parabolic-input.
As the type of the system increases, the steady-state error decreases.
The steady-state error is inversely proportional to the gain. Therefore, it can be reduced by increasing the system gain.

A system has position error constant Kp  = 3. The steady state error for input of 8tu(t) is
  • a)
    2.67
  • b)
    2
  • c)
  • d)
    0
Correct answer is option 'C'. Can you explain this answer?

Aryan Mathur answered
Steady state error is a measure of how well a control system is able to track a desired input signal. It represents the difference between the desired output and the actual output of the system when the input signal has reached a steady state.

In this system, the position error constant Kp is given as 3. The position error constant relates the steady state error to the input signal. It is defined as the ratio of the steady state error to the input signal. Mathematically, Kp = 1 / steady state error.

Given that the input signal is 8tu(t), where u(t) is the unit step function, we can determine the steady state error using the position error constant.

Let's calculate the steady state error step by step:

1. First, we need to determine the Laplace transform of the input signal.
The Laplace transform of tu(t) is 1/s^2.
Therefore, the Laplace transform of 8tu(t) is 8/s^2.

2. Next, we determine the Laplace transform of the steady state error.
Let the Laplace transform of the steady state error be E(s).
Then, E(s) = Kp / (s * 8/s^2) = Kp * s^2 / 8.

3. To find the steady state error, we need to take the inverse Laplace transform of E(s).
Using inverse Laplace transform tables or software, we can determine that the inverse Laplace transform of Kp * s^2 / 8 is Kp/8 * t^2.

4. Since the input signal is a unit step function, the steady state error is the value of the inverse Laplace transform at t = infinity.
Therefore, the steady state error is Kp/8 * infinity^2 = Kp/8 * ∞ = 3/8 * ∞ = 0.

Hence, the correct answer is option 'C', which states that the steady state error is 0.

When the period of the observation is large, the type of the error will be:
  • a)
    Transient error
  • b)
    Steady state error
  • c)
    Half-power error
  • d)
    Position error constant
Correct answer is option 'B'. Can you explain this answer?

Answer: b
Explanation: The error will be the steady state error if the period of observation is large as the time if large then the final value theorem can be directly applied.

The steady state error of a control system can be reduced by
  • a)
    increasing time constant of the system only.
  • b)
    increasing gain constant of the system only.
  • c)
    increasing both the time constant and gain of the system.
  • d)
    none of the above.
Correct answer is option 'C'. Can you explain this answer?

Anuj Kapoor answered
Time constant of the system, 

When  is increased means damping is reduced, thus steady state error reduces.
Also, when gain of the system increases, then damping reduces and therefore, steady state error reduces.

With negative feedback in a closed loop control system, the system sensitivity to parameter variation:
  • a)
    Increases
  • b)
    Decreases
  • c)
    Becomes zero
  • d)
    Becomes infinite
Correct answer is option 'B'. Can you explain this answer?

Mahi Bose answered
Answer: b
Explanation: Sensitivity is defined as the change in the output with respect to the change in the input and due to negative feedback reduces by a factor of 1/ (1+GH).

A third order system is approximated to an equivalent second order system. The rise time of this approximated lower order system will be:
  • a)
    Same as the original system for any input
  • b)
    Smaller than the original system for any input
  • c)
    Larger than the original system for any input
  • d)
    Larger or smaller depending on the input
Correct answer is option 'B'. Can you explain this answer?

Answer: b
Explanation: As order of the system increases the system approaches more towards the ideal characteristics and if the third order system is approximated to an equivalent second order system then the rise time of this will be smaller than the original system for any input.

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