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MU Instrumentation Engineering (Semester 7)
Advanced Control System
December 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) Define singular point of the system. How do you identify them in the phase portrait?
5 M
1 (b) Draw the sinusoidal response of saturation with dead zone nonlinearity. Write the response equations.
5 M
1 (c) Define positive definite matrix. What are the properties of the positive definite matrix if it is symmetric?
5 M
1 (d) Compute the 2-norm for the matrices i) A=[0135]ii) F=[1005]
5 M
1 (e) What are the limitations of plant inverse controller?
5 M
1 (f) Obtain the linear system matrix at the operating point xT0=[1  0.5  0.5] for the system of equations. [x1x2x3]=[x22x233x2111x2212x3] Comment whether the operating point is stable?
5 M

2 (a) Draw the phase trajectory for the following system using delta method. Assume initial condition. x=1, ˙x=0  ¨x+2˙x+4x=0
10 M
2 (b) Derive the describing function for relay with dead zone nonlinearity.
10 M

3 (a) Obtain via analytical method the solution of the following system and write the equation of trajectory. Assume initial condition x10=1, x20=0.˙x1=x2˙x2=2x13x2
10 M
3 (b) Explain Lyapunov stability analysis with neat phase trajectories.
10 M

4 (a) Design IMC controller for plant model. ˜G(s)=(s+1)2s+1 in order to achieve the response with time constant of 1.5 sec.
10 M
4 (b) (i) Explain choice of filters in IMC for step and ramp reference inputs.
5 M
4 (b) (ii) What is NMP system? Explain inverse response.
5 M

5 (a) Design the optimal controller via Riccati equation for the system ˙x=[0121]x+[01]u to minimize the performance index J=0(x21+x22+u2)dt.
10 M
5 (b) Write the steps for constructing the Lyapunov function via Krasovskii method.
10 M

6 (a) Investigation stability of the given system using describing function method.

10 M
6 (b) Write steps for linearizing the nonlinear system using feedback linearization: ˙x=f(x)+g(x)uy=h(x)
10 M



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