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)=[010\001\0.241.282.1]x(k)+[0\0\1]u(k) y(k)=[100]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)=z21.2x+0.35x30.7x2+0.14z?0.008
10 M

5 (a) Obtain the solution to the system of equation x(k+1)=[0.50\00.1]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. ϕ(k+1)=[010.881.9]ϕ(k)+[0\1]Γ(k)
10 M
6 (b) Determine the stability of the system using Lyapunov equation. x(k+1)=[011.52.5]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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