Model Predictive Control for DC Motor Positioning
This work presents a Model Predictive Control for a DC motor position control using Simulink. It uses simulation and real-time validation
https://github.com/ClaudiaYasar/Model-Predictive-Control-DC-motor
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This repository contains the curriculum materials used for the Intelligent Control Systems course YTU Department of Control and Automation Engineering.
This live swork delves into Model Predictive Control (MPC) using Simulink, highlighting its accuracy and adaptability. It offers a practical framework for real-world MPC applications. Featuring a hands-on demonstration with a live DC motor setup, it showcases MPC's experimental response and its broad applicability in control systems.
I would like to express my gratitude to the students of the Intelligent Control Systems course of the YTÜ Control and Automation Engineering department, Class 2022 and 2023, whose dedication and hard work made this project possible. I am also deeply thankful to our Control Tech LAB team, Doctors Marco Rossi and Melda Ulusoy for their invaluable contributions.
Cite As
Claudia Fernanda Yasar (2026). Model Predictive Control for DC Motor Positioning (https://github.com/ClaudiaYasar/Model-Predictive-Control-DC-motor), GitHub. Retrieved .
Acknowledgements
Inspired: MPC for DC Motor Speed Control
General Information
- Version 1.0.1 (549 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.1 | NA |
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| 1.0.0 |
