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🚁 Quadrotor UAV Model Predictive Control (MPC) | MATLAB Simulink Simulation | UAV Attitude and Altitude Control
Learn how to design and simulate a Model Predictive Controller (MPC) for a Quadrotor UAV using MATLAB Simulink.
This video demonstrates the complete workflow — from developing the quadrotor’s state-space model, configuring MPC horizons,
and applying real-time constraints, to analyzing attitude and altitude control performance under different flight conditions.
🎯 In this video:
✅ Build a Quadrotor dynamic model in MATLAB/Simulink
✅ Design an MPC controller for roll, pitch, yaw, and altitude
✅ Compare MPC vs PID performance
✅ Visualize trajectory tracking and control responses
Ideal for Master's and PhD students in Control Systems, Robotics, and Aerospace Engineering.
Learn how to apply Model Predictive Control in UAV systems for your thesis or research simulation.
📦 Get complete project files or implementation support:
🌐 www.phdresearchlabs.com
📱 WhatsApp: https://wa.me/+918300015425
📧 matlabprojectscode@gmail.com
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