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Скачать или смотреть Quadrotor Attitude Tracking using MRAC & LQR | MATLAB Simulink UAV Control Simulation

  • MATLAB ASSIGNMENTS AND PROJECTS
  • 2025-12-12
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Quadrotor Attitude Tracking using MRAC & LQR | MATLAB Simulink UAV Control Simulation
quadrotor attitude controlmrac quadrotor matlablqr quadrotor control simulinkquadrotor attitude tracking matlabadaptive control quadrotormodel reference adaptive control uavquadrotor lqr controlleruav attitude control simulinkquadrotor nonlinear dynamics matlabdrone control system matlabroll pitch yaw control quadrotoradaptive control matlab simulinkuav control final year projectquadrotor phd researchoptimal control lqr matlab
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Quadrotor Attitude Tracking using MRAC & LQR | MATLAB Simulink UAV Control Simulation

This video presents a Quadrotor UAV Attitude Tracking Control System implemented in MATLAB/Simulink, using Model Reference Adaptive Control (MRAC) and Linear Quadratic Regulator (LQR) techniques. The simulation demonstrates precise roll, pitch, and yaw angle tracking under disturbances, uncertainties, and parameter variations.

The MRAC controller enables the quadrotor to adapt online to system uncertainties by forcing the plant to follow a predefined reference model, while the LQR controller provides optimal state-feedback control with minimum control effort and improved stability.

The model includes nonlinear quadrotor dynamics, attitude kinematics, reference model generation, adaptive law, LQR gain computation, and performance comparison between MRAC and LQR controllers.

This project is highly suitable for final-year engineering projects, MTech/MS theses, PhD research, UAV control studies, and IEEE journal-oriented simulations.

📞 MATLAB / Simulink Project & Research Support

🌐 Website: www.matlabprojectscode.com
📧 Email: [email protected]
📱 WhatsApp: +91 8300015425

🔧 Key Features

✅ Nonlinear quadrotor attitude dynamics
✅ Roll, pitch & yaw tracking control
✅ Model Reference Adaptive Control (MRAC)
✅ Optimal control using LQR
✅ Robust performance under disturbances
✅ MATLAB/Simulink block-level implementation
✅ Comparative analysis of MRAC vs LQR

🎓 Who Should Watch?

Aerospace & Electrical Engineering Students

UAV & Drone Control Researchers

MATLAB / Simulink Learners

Control Systems Engineers

Master’s & PhD Scholars

🚁 Applications

Autonomous quadrotor drones

UAV attitude stabilization

Military & surveillance drones

Robotics & aerial vehicles

Adaptive and optimal control research

We provide complete MATLAB/Simulink models, IEEE paper guidance, thesis support, and custom control algorithms for students and researchers worldwide (India, UK, USA, UAE, Australia, Europe).

👍 Like | Share | Subscribe for more UAV, Control Systems, Adaptive Control, MRAC, LQR, and MATLAB Simulink simulations.

🔖 YouTube Tags (Comma-Separated, SEO Ready)
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🔖 Hashtags (Optional for Description)
#Quadrotor
#UAV
#MRAC
#LQR
#AdaptiveControl
#MATLAB
#Simulink
#ControlSystems
#DroneControl
#AerospaceEngineering
#Robotics
#IEEEProjects

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