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https://github.com/sarmadahmad8/inverted-pendulum-using-pid-in-simulink-and-simcape
Inverted Pendulum using PID in Simulink
https://github.com/sarmadahmad8/inverted-pendulum-using-pid-in-simulink-and-simcape
lcs mathematical-modelling matlab simscape simulation simulink
Last synced: about 1 month ago
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Inverted Pendulum using PID in Simulink
- Host: GitHub
- URL: https://github.com/sarmadahmad8/inverted-pendulum-using-pid-in-simulink-and-simcape
- Owner: sarmadahmad8
- License: gpl-3.0
- Created: 2024-04-29T17:15:55.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-05-01T10:07:37.000Z (8 months ago)
- Last Synced: 2024-05-02T06:38:48.906Z (8 months ago)
- Topics: lcs, mathematical-modelling, matlab, simscape, simulation, simulink
- Homepage:
- Size: 2.17 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Inverted Pendulum using PID in Simulink and Simscape
The inverted pendulum is a classic control system problem that involves balancing a pendulum in an inverted position on a moving platform. This system is inherently unstable and requires a control mechanism to maintain balance.
Simulink, a graphical programming environment, was employed to create a dynamic simulation of the inverted pendulum system. Simulink provides a visual representation of the system's behavior, making it an effective tool for control system design and analysis.
Simscape, a physical modeling tool, was chosen to create a more detailed and physically accurate representation of the inverted pendulum system. Simscape allows for the modeling of multidomain physical systems, enabling a more realistic simulation.
The Proportional-Integral-Derivative (PID) control algorithm was implemented in both the Simulink and Simscape models to stabilize the inverted pendulum. PID control involves adjusting three parameters—proportional, integral, and derivative—to achieve a balance between system stability and responsiveness.