Quadrotor MATLAB Simulation Files

This document focuses on quadrotor MATLAB simulation files that implement dynamic modeling and flight control algorithms. The simulation architecture typically includes mathematical modeling of quadrotor dynamics using Euler-Lagrange equations, PID or LQR controller implementation for attitude stabilization, and waypoint navigation logic. Key simulation components involve: - State-space representation of 6-DOF quadrotor dynamics - Motor mixing algorithms converting control inputs to individual rotor thrusts - Sensor noise modeling for accelerometers and gyroscopes - Flight trajectory generation and tracking controllers The simulation workflow generally follows these steps: 1. Initialize quadrotor physical parameters (mass, inertia, rotor positions) 2. Implement control algorithms in MATLAB functions like attitude_controller() 3. Use ODE solvers (ode45) for dynamic propagation 4. Visualize results through 3D animation plots and performance metrics The code structure typically organizes components into separate modules: - dynamics_model.m containing differential equations - control_system.m handling stabilization logic - visualization_tools.m for plotting flight paths - main_sim.m as the top-level simulation orchestrator Expected outputs include time-domain responses of Euler angles, position trajectories, and control effort analysis, providing insights for controller tuning and system validation before hardware implementation.