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Control Lab Report

The experiment focused on using Simulink to model and simulate control system components and analyze their responses through graphical representations. It provided hands-on experience in dynamic system modeling, allowing students to observe the effects of various parameters on system behavior. The practical application of Simulink emphasized the significance of simulation in validating control strategies before real-world implementation.

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10 views3 pages

Control Lab Report

The experiment focused on using Simulink to model and simulate control system components and analyze their responses through graphical representations. It provided hands-on experience in dynamic system modeling, allowing students to observe the effects of various parameters on system behavior. The practical application of Simulink emphasized the significance of simulation in validating control strategies before real-world implementation.

Uploaded by

ahr6999
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Experiment No:

03
Experiment Name:
Using Simulink
Objective:
1. To model and simulate control system components and responses using Simulink.
2. To analyze system behavior through graphical representations such as time response plots.
3. To enhance understanding of dynamic system modeling through hands-on simulation practice.
Theory:
Simulink is a graphical simulation environment integrated with MATLAB, designed for modeling,
simulating, and analyzing dynamic systems. It allows users to construct block diagrams
representing mathematical models of control systems. Simulink supports linear and nonlinear
system modeling and provides a versatile platform for testing different control strategies, such as
open-loop and closed-loop configurations. By using built-in blocks for transfer functions,
integrators, gain elements, and feedback, engineers can simulate real-time system responses to
inputs like step or impulse functions. This approach enables detailed analysis of key parameters
including rise time, settling time, and steady-state error.
Diagram 1:

Figure 1
Graph 1:

Figure 2
Diagram 2:

Graph 2: Figure 3

Figure 4

Diagram 3:

Figure 5
Graph 3:

Figure 6
Diagram 4:

Figure 7
Graph 4:

Figure 8

Discussion:
This experiment provided a practical introduction to control system simulation using Simulink. By
constructing and analyzing various system models, students were able to observe how different
parameters and configurations influence the dynamic behavior of a system. The graphical interface
of Simulink facilitated intuitive design and modification of system blocks, enhancing the learning
experience. The step-by-step simulation approach helped illustrate the effect of system gain,
feedback, and time constants on output response. The ability to visualize results through plots such
as time response graphs allowed for deeper insight into system characteristics like overshoot,
settling time, and system stability. Overall, the experiment emphasized the importance of
simulation in validating control strategies prior to real-world implementation.

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