Skip to main content

Quadrotor Attitude Tracking using MRAC & LQR | MATLAB Simulink UAV Contr...

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: matlabprojectscode@gmail.com 📱 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) quadrotor attitude control, mrac quadrotor matlab, lqr quadrotor control simulink, quadrotor attitude tracking matlab, adaptive control quadrotor, model reference adaptive control uav, quadrotor lqr controller, uav attitude control simulink, quadrotor nonlinear dynamics matlab, drone control system matlab, roll pitch yaw control quadrotor, adaptive control matlab simulink, uav control final year project, quadrotor phd research, optimal control lqr matlab, uav simulation matlab simulink, quadrotor control comparison mrac lqr 🔖 Hashtags (Optional for Description) #Quadrotor #UAV #MRAC #LQR #AdaptiveControl #MATLAB #Simulink #ControlSystems #DroneControl #AerospaceEngineering #Robotics #IEEEProjects

Comments

Popular posts from this blog

TWO AREA LOAD FREQUENCY CONTROL LFC GREY WOLF FUZZY PID CONTROLLER MATLA...

Two-Area Load Frequency Control (LFC) using Grey Wolf Fuzzy-PID Controller | MATLAB Simulink Simulation This video presents the modeling and simulation of a Two-Area Power System Load Frequency Control (LFC) using an intelligent hybrid controller — the Grey Wolf Optimization (GWO) tuned Fuzzy-PID Controller implemented in MATLAB/Simulink. The proposed controller improves dynamic performance, frequency stability, and tie-line power oscillation damping compared to conventional PID and Fuzzy controllers. 👨‍💻 Project Support 🌐 www.matlabprojectscode.com 📧 matlabprojectscode@gmail.com 📱 WhatsApp: +91 8300015425 🔍 Topics Covered Modeling of two-area interconnected thermal power system Governor, turbine, and tie-line power flow representation Fuzzy logic controller for adaptive gain tuning Grey Wolf Optimization (GWO) algorithm for optimal PID parameter selection Simulation of load disturbances and system response Comparison of PID, Fuzzy-PID, and GWO-Fuzzy-PID controllers Performa...

⚡ Fuzzy Logic Controller Based Nine Level Boost Multilevel Inverter | MA...

⚡ Fuzzy Logic Controller Based Nine Level Boost Multilevel Inverter | MATLAB Simulink 📞 CONTACT & PROJECT SUPPORT 🔹 Website: https://www.matlabprojectscode.com 🔹 Email: matlabprojectscode@gmail.com 🔹 WhatsApp: +91 8300015425 This video presents a Fuzzy Logic Controller (FLC)–based Nine Level Boost Multilevel Inverter with a novel switching control strategy using MATLAB Simulink. The proposed model achieves high voltage gain, reduced total harmonic distortion (THD), and improved dynamic performance compared with conventional PWM-based multilevel inverters. The simulation demonstrates how intelligent fuzzy control combined with a novel switching algorithm enhances inverter efficiency, output voltage quality, and power conversion performance—making it highly suitable for renewable energy systems and electric vehicle applications. 🔍 Key Highlights ✔ Nine-level boost multilevel inverter topology ✔ Novel switching control strategy ✔ Fuzzy logic controller design (rule base ...

Lattice Structure Compression FEA in FEBio Studio | Finite Element Analy...

Lattice Structure Compression FEA in FEBio Studio | Finite Element Analysis of Gyroid & Honeycomb Lattices | FEA Tutorial Perform advanced Finite Element Analysis (FEA) of lattice structures under compression using FEBio Studio. This video demonstrates a full workflow — from importing 3D lattice geometries (gyroid, honeycomb, or cubic) to meshing, applying material properties, boundary conditions, and extracting stress–strain and deformation plots. Learn how to model realistic compression behavior and evaluate key parameters like effective modulus, yield strength, and energy absorption. Perfect for mechanical, biomedical, and materials engineering students and researchers exploring additive manufacturing, metamaterials, or topology optimization. This step-by-step simulation guide helps you build a complete lattice compression setup in FEBio Studio — ideal for thesis work, MSc/PhD projects, and research publications. 📦 Get complete project files & support (MATLAB | ANSYS | F...