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Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE) PDF Download

Q16: The response h(t) of a linear time invariant system to an impulse δ(t), under initially relaxed condition is h(t) = e−t + e−2t. The response of this system for a unit step input u(t) is  (2011)
(a) u(t) + e−t + e−2t
(b) (et+e2t)u(t)(e−t + e−2t)u(t)  
(c) (1.5et0.5e2t)u(t)(1.5 − e−t − 0.5e−2t)u(t)
(d) e−tδ(t) + e−2tu(t)
Ans:
(c)
Sol: Transafer function of system is impulse response of the system with zero initial conditions.
Transfer function H(s) = L(e−t + e−2t)
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Q17: A function y(t) satisfies the following differential equation :
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE) where δ(t) is the delta function. Assuming zero initial condition, and denoting the unit step function by u(t), y(t) can be of the form  (2008)
(a) et
(b) e-t
(c) etu(t)
(d) ete−t u(t)
Ans:
(d)
Sol: Taking (L.T.) on both sides
 Y(s)(s + 1) = 1
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Taking inverse laplace transform
y(t) = e−tu(t)

Q18: The system shown in figure below
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)can be reduced to the form
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)with        (2007)
(a) X = c0s + c1,  Y = 1/(s+ a0s + a1), Z = b0s + b1 
(b) X = 1, Y = (c0s + c1)/(s+ a0s + a1), Z = b0s + b1 
(c) X = c1s + c0, Y = (b1s + b0)/(s+ a1s + a0), Z = 1
(d) X = c1s + c0, Y = 1/(s+ a1s + a), Z = b1s + b0 
Ans:
(d)
Sol: The block diagram can be redrawn as
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Signal flow graph of the block diagram,
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)There are two forward paths:
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)These are four individual loops
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)All the loop touch forward paths
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Using Masson's gain formula
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Comparing equation (i) and (ii), we get
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Hence, Option (D)is correct.

Q19: When subject to a unit step input, the closed loop control system shown in the figure will have a steady state error of  (2005)Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)(a) -1
(b) -0.5
(c) 0
(d) 0.5
Ans: 
(c)
Sol: Using signal flow graph,
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Forward path gains
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Individual loop,
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Loop touches forward paths, therefore,
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Using Mason's gain formula,
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Steady state value of error, using final value theoram,
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Q20: The unit impulse response of a second order under-damped system starting from rest is given by
c(t) = 12.5e−6tsin8t, t ≥ 0
The steady-state value of the unit step response of the system is equal to  (2004)
(a) 0
(b) 0.25
(c) 0.5
(d) 1
Ans: 
(d)
Sol: Transfer function of a system is the unit impulse response of the system.
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)when input is unit step, R(s) = 1/s
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Steady-state value of response, using final value theorem
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Q21: For the block diagram shown in figure, the transfer function C(s)/R(s) is equal to  (2004)
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)(a) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)

(b) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
(c) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
(d) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Ans: (b)
Sol: Method-1: Using block-diagram reduction technique.
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)So, transfer function
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Method-2: Using signal flow graph
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Three forward paths, Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
The number of individual loap = 0
So graph determinant = Δ = 1
and Δ1 = Δ2 = Δ3 = 1
Applying Mason's gain formula
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Q22: For a tachometer, if θ(t) is the rotor displacement in radians, e(t) is the output voltage and Kt is the tachometer constant in V/rad/sec, then the transfer function, Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE) will be  (2004)
(a) KtS2
(b) Kt/SKt/S
(c) KtS
(d) Kt
Ans:
(c)
Sol: Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)θ(t) = rotor displacement in radians
ω(t) = dθ/dt = angular speed in rad/sec
Output voltage; Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Taking laplace transform on both sides
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Q23: The block diagram of a control system is shown in figure. The transfer function G(s) = Y(s)/U(s) of the system is (2003)
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)(a) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)

(b) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
(c) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
(d) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Ans: (b)
Sol:  Integrator are represented as 1/s in s-domain
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)As per the block diagram, the corresponding signal flow graph is drawn
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)One forward path P1 = 2/s2
The individual loops are,
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)L1 and L2 are non-touching loops
L1L2 = 36/s2
The loops touches the forward path Δ= 1
The graph determinant is  
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Applying mason's gain formula,
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Q24: A control system with certain excitation is governed by the following mathematical equation
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)

The natural time constant of the response of the system are   (2003)
(a) 2 sec and 5 sec
(b) 3 sec and 6 sec
(c) 4 sec and 5 sec
(d) 1/3 sec and 1/6 sec
Ans:
(b)
Sol: Natural time constant of the response depends only on poles of the system.
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Q25: A control system is defined by the following mathematical relationship
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)

 The response of the system as t → ∞ is  (2003)
(a) x = 6
(b) x = 2
(c) x = 2.4
(d) x = -2
Ans: 
(c)
Sol: Taking (LT) on both sides
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)Responce at t → ∞
Using final value theorem
Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Q26: The transfer function of the system described by Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE) with u as input and y as output is  (2002)
(a) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)

(b) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
(c) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
(d) Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)
Ans: (a)
Sol: Previous Year Questions- Mathematical Models of Physical Systems - 2 | Control Systems - Electrical Engineering (EE)

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FAQs on Previous Year Questions- Mathematical Models of Physical Systems - 2 - Control Systems - Electrical Engineering (EE)

1. What are mathematical models in physical systems?
Ans.Mathematical models in physical systems are representations of real-world phenomena using mathematical language and equations. They help in understanding, predicting, and analyzing the behavior of physical systems by translating physical laws into mathematical expressions.
2. How do you create a mathematical model for a physical system?
Ans.To create a mathematical model for a physical system, one typically begins by identifying the key variables and parameters that influence the system. Next, relevant physical laws (such as Newton's laws of motion, conservation laws, etc.) are used to formulate equations. Finally, these equations are refined and validated against experimental or observed data to ensure accuracy.
3. What are some common applications of mathematical models in physical systems?
Ans.Common applications of mathematical models in physical systems include simulations of mechanical systems (like vehicles and machinery), thermal systems (like heat exchangers), fluid dynamics (like air and water flow), and even biological systems. They are essential in engineering, physics, and environmental science for designing and optimizing systems.
4. What is the difference between a deterministic and a stochastic model in physical systems?
Ans.A deterministic model provides a precise outcome given a specific set of initial conditions and parameters, meaning the same input will always yield the same output. In contrast, a stochastic model incorporates randomness and uncertainty, meaning that it can produce different outcomes even with the same initial conditions, reflecting the inherent variability in real-world systems.
5. How can one validate a mathematical model of a physical system?
Ans.Validation of a mathematical model involves comparing its predictions with experimental data or real-world observations. This process may include statistical analysis to assess how well the model fits the data, sensitivity analysis to understand the impact of varying parameters, and refinement of the model based on discrepancies between predicted and observed results.
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