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| .ipynb_checkpoints | ||
| .old/tracking | ||
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| mpc_demo | ||
| notebooks | ||
| racecar | ||
| .gitignore | ||
| README.md | ||
| requirements.txt | ||
README.md
mpc_python
Python implementation of a mpc controller for path tracking using CVXPY.
About
The MPC is a model predictive path following controller which does follow a predefined reference path Xref and Yref by solving an optimization problem. The resulting optimization problem is shown in the following equation:
The vehicle dynamics are described by the differential drive model:
The state variables of the model are:
- x coordinate of the robot
- y coordinate of the robot
- theta heading of the robot
The inputs of the model are:
- v linear velocity of the robot
- w angular velocity of the robot
Demo
The MPC implementation is tested using bullet physics simulator. Turtlebot model is from: https://github.com/erwincoumans/pybullet_robots.
Results:
To run the pybullet demo:
python3 mpc_demo/mpc_demo_pybullet.py
To run the simulation-less demo:
python3 mpc_demo/mpc_demo_pybullet.py
Requirements
pip3 install --user --requirement requirements.txt