MU Instrumentation Engineering (Semester 8)
Digital Control System
May 2015
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary


Attempt any four:
1 (a) Explain digital control system with neat block diagram.
5 M
1 (b) State sampling theorem. What are the undesirable characteristics that may be exhibited in response if sampling theorem is not satisfied?
5 M
1 (c) Specify the region in x plane that corresponds to the region in s plane as shown in Fig. 1

5 M
1 (d) Explain controllability and observability of the system.
5 M
1 (e) Explain sampler as an impulse modulator.
5 M
1 (f) Explain various types of continuous and discrete time signals.
5 M

2 (a) Obtain the pulse transfer function with sampling rate Ts=1sec. for the system shown in Fig. 2.

10 M
2 (b) Determine the stability of the system having characteristic equation
P(z)=z3-z2-0.19z+0.28=0
using Routh's Stability criterion.
10 M

3 (a) Derive the transfer function for the ZOH.
10 M
3 (b) Determine controllability and observability for the following system \[ x(k+1) = \begin{bmatrix} 0 &1 &0 \0 &0 &1 \0.24 &-1.28 &2.1 \end{bmatrix} x(k) + \begin{bmatrix} 0\0 \1 \end{bmatrix} u(k) \ y(k) = \begin{bmatrix} 1 &0 &0 \end{bmatrix} x(k) \]
10 M

4 (a) Obtain the pulse transfer function for the digital control system described by
x(k+1)=Gx(k)+Hu(k)
y(k)=Cx(k)+Du(k)
10 M
4 (b) Represent the following system into the observable canonical form. \[ G(x)= \dfrac {z^2 - 1.2x + 0.35}{x^3 - 0.7 x^2 + 0.14z ? 0.008} \]
10 M

5 (a) Obtain the solution to the system of equation \( x(k+1) = \begin{bmatrix} 0.5 &0 \0 &-0.1 \end{bmatrix} x(k).\) Assume initial condition x(0)=(1, 0)' and sampling times 1 sec.
10 M
5 (b) prove using similarity transformation that state space representation is not unique. Also prove the invariance of eigenvalues under the similarity transformation.
10 M

6 (a) Design the state feedback control for the following system to place the pole at 0.5 and 0.2. \[ \phi (k+1) = \begin{bmatrix} 0 &1 \\-0.88 &-1.9 \end{bmatrix} \phi (k) + \begin{bmatrix} 0\1 \end{bmatrix} \Gamma (k) \]
10 M
6 (b) Determine the stability of the system using Lyapunov equation. \[ x(k+1) = \begin{bmatrix} 0 &1 \\-1.5 &2.5 \end{bmatrix} x(k) \]
10 M

7 (a) Derive the state transition matrix via recursion for the system.
x(k+1)=Gx(k)
10 M
7 (b) Explain pole placement method using Ackerman's formula.
10 M



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