LMPC based Differential Drive Robot Trajectory Tracking in MATLAB
Project Description:
π Watch your robot track Sine, Circle, Rectangle, Zig-Zag, and Spiral trajectories in real-time!
π Fully visualized 4-wheeled robot animation with LMPC control, showing smooth heading correction, velocity modulation, and accurate path tracking.
Perfect For:
π Final Year Projects & Capstone Projects
π€ Robotics & Control Systems Labs
π» MATLAB Simulations & Academic Research
π Performance Evaluation & Trajectory Tracking Studies
π Tutorials, Teaching, and Demonstration of LMPC in Action
Key Features:
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LMPC Control: Smooth trajectory tracking using Linear Model Predictive Control.
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Multiple Trajectories: Sine Wave, Circle, Rectangle, Zig-Zag, Spiral.
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Real-Time Visualization: Animated robot body and wheels for realistic movement.
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Adaptive Velocity: Robot slows down for sharp turns, faster on straight paths.
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Performance Metrics: RMSE, Mean Absolute Error, Max Error, Path Efficiency.
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Easy-to-Use MATLAB Files: Simply run main.m and select trajectory.
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Ready for Academic & Commercial Use: Well-commented and professional code.
Included Files:
LMPC_Trajecotry_Tracking/
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ββ README.md # Detailed project overview and usage guide
ββ main.m # Main simulation script (LMPC + visualization)
ββ generate_trajectory.m # Function to generate multiple trajectories
ββ results/ # Folder to store performance plots and metrics
β ββ trajectory_plot.png # Example final trajectory plot
β ββ error_metrics.txt # Example RMSE, MAE, Max Error, Path Efficiency
ββ assets/ # Optional folder for logos, icons, or visual assets
β ββ robot_icon.png # Robot icon for visualization (optional)
Why Buy This Project?
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Fully functional LMPC robot simulation ready to run in MATLAB.
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Animated robot visualization with clear trajectory tracking.
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Professional code structure with comments for easy understanding and customization.
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Ideal for students, researchers, and instructors to demonstrate advanced control and robotics.
πUsage Instructions:
Download the folder LMPC_Trajecotry_Tracking.
Open MATLAB and set the project folder as the current working directory.
Run main.m.
Enter trajectory choice (1-5) in MATLAB command window.
Watch robot track the trajectory with live animation and performance metrics.
Save plots and metrics in the results/ folder.
πBefore proceeding with the purchase, please ensure you have the following:
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MATLAB Software (R2019a or later recommended)
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Model Predictive Control Toolbox (Required for LMPC implementation)
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Control System Toolbox (Required for system modeling and MPC calculations)
Author:
Engr Programmer