Draw the block diagrams of open loop and closed loop control systems.
[3 marks]Compare conventional control method and modern control method.
[4 marks]Determine the overall transfer function for the mechanical translational system shown in fig.1.
[7 marks]Define the following terms related to signal flow graph: 1. Source node 2. Sink node 3. Chain node.
[3 marks]Compare open loop and closed loop control systems.
[4 marks]The characteristic equation of feedback control system is given by S4+20S3+S2+2S+K=0 1) Calculate the range of Kfor the system to be stable. 2) Can the system be marginally stable? If so, find the required value of k and frequency of sustained oscillation.
[7 marks]Determine the transfer function of the system shown in fig.2 by using block diagram reduction technique.
[7 marks]State the condition for stability of control system with respect to bode plot and Nyquist stability criterion.
[3 marks]Explain Standard Test Signals used in control system.
[4 marks]Draw the time response of second order system and define all the time response specification.
[7 marks]Explain Gain margin and Phase margin.
[3 marks]Explain Routh stability criterion method.
[4 marks]Draw the root locus for the transfer function given by G(S)= K/ S (S+4) (S2+4S+20).
[7 marks]State the advantages of bode plot.
[3 marks]Draw the polar plot for the transfer function given by G(S)= 2/(S+1) (S+2) (S+3).
[4 marks]Write Nyquist contour and Nyquist stability criterion in brief.
[7 marks]List out the different types of Controllers.
[3 marks]Explain derivative control mode. State its characteristics.
[4 marks]Explain Proportional-Integral-Derivative (PID) Controller.
[7 marks]Define compensation and explain series-parallel compensation.
[3 marks]State the limitations and effects of phase Lead compensation.
[4 marks]Write steps to design Lag Compensator using Root Locus.1
[7 marks]Give advantages of state space approach.
[3 marks]Obtain the state space representation for transfer function C(S)/R(S)=1/S2+2S+3
[4 marks]Comment on the controllability and observability of the system described by the following state variable model. Fig. 1 Fig.22
[7 marks]