The closed-loop feedback system for a rocket's steering control system is shown below. It incorporates a type of controller known as a PID (proportional-integral-derivative). We want to perform root locus analysis on this system. PID Controller Rocket Dynamics K (s + 4) (s+2) R(s) Cs) s2-1 PROCEDURE Normally, with the Control Systems Toolbox, we could use basic commands such as tf, rlocus, and rlocfind to draw and interact with a Root Locus plot. Without these tools, however, we will use basic (old school) techniques to do the same things. 1. Identify the open-loop poles and zeros of the system. Write down the characteristic equation for the above closed-loop system. 2. Make a hand drawing of the root locus, using the rules for sketching a root locus. Be sure to label the axes, and indicate the direction of pole movement along the various branches of the root locus. 3. Create a Routh Table to determine the range of K for which the system is stable.

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The closed-loop feedback system for a rocket's steering control system is shown below.
It incorporates a type of controller known as a PID (proportional-integral-derivative). We
want to perform root locus analysis on this system.
PID Controller
Rocket Dynamics
K (s + 4) (s+2)
8.
R(s)
Cs)
s2-1
PROCEDURE
Normally, with the Control Systems Toolbox, we could use basic commands such as tf,
rlocus, and rlocfind to draw and interact with a Root Locus plot. Without these tools,
however, we will use basic (old school) techniques to do the same things.
1. Identify the open-loop poles and zeros of the system. Write down the characteristic
equation for the above closed-loop system.
2. Make a hand drawing of the root locus, using the rules for sketching a root locus. Be
sure to label the axes, and indicate the direction of pole movement along the
various branches of the root locus.
3. Create a Routh Table to determine the range of K for which the system is stable.
4. Using your root locus plot, and other relevant equations, find the following values:
(a) The points and gain where the locus crosses the jo-axis.
(b) The breakaway and break-in points on the real axis.
(c) The point and gain where the locus crosses the 0.707 damping ratio line.
5. Select a point on the root locus, and use Simulink to generate a closed-loop step-
input response plot. Discuss the system behavior you observe.
Transcribed Image Text:The closed-loop feedback system for a rocket's steering control system is shown below. It incorporates a type of controller known as a PID (proportional-integral-derivative). We want to perform root locus analysis on this system. PID Controller Rocket Dynamics K (s + 4) (s+2) 8. R(s) Cs) s2-1 PROCEDURE Normally, with the Control Systems Toolbox, we could use basic commands such as tf, rlocus, and rlocfind to draw and interact with a Root Locus plot. Without these tools, however, we will use basic (old school) techniques to do the same things. 1. Identify the open-loop poles and zeros of the system. Write down the characteristic equation for the above closed-loop system. 2. Make a hand drawing of the root locus, using the rules for sketching a root locus. Be sure to label the axes, and indicate the direction of pole movement along the various branches of the root locus. 3. Create a Routh Table to determine the range of K for which the system is stable. 4. Using your root locus plot, and other relevant equations, find the following values: (a) The points and gain where the locus crosses the jo-axis. (b) The breakaway and break-in points on the real axis. (c) The point and gain where the locus crosses the 0.707 damping ratio line. 5. Select a point on the root locus, and use Simulink to generate a closed-loop step- input response plot. Discuss the system behavior you observe.
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