Drone & UAV Engineering

Autonomous Systems | Defence | Robotics | AI

UAV Flight Control Autonomy MATLAB ROS

Module 1 – UAV Fundamentals

  • UAV classifications & applications
  • Fixed-wing vs rotary-wing
  • Multirotor dynamics
  • Defence & civilian use cases

Module 2 – Airframe & Propulsion

  • Airframe design principles
  • Motors, ESCs & propellers
  • Power systems & batteries
  • Efficiency & endurance

Module 3 – Flight Control Systems

  • PID control basics
  • Attitude & position control
  • State estimation
  • Fault-tolerant control

Module 4 – Sensors & Perception

  • IMU, GPS, magnetometer
  • Camera, LiDAR & radar
  • Sensor fusion
  • SLAM basics

Module 5 – Navigation & Guidance

  • Waypoint navigation
  • Path planning algorithms
  • Obstacle avoidance
  • Autonomous mission planning

Module 6 – Embedded Systems & RTOS

  • Flight controllers
  • RTOS concepts
  • Real-time scheduling
  • Safety-critical design

Module 7 – Communication & Ground Control

  • Telemetry links
  • MAVLink protocol
  • Ground control stations
  • Secure communication

Module 8 – Autonomy, AI & Simulation

  • MATLAB & Simulink modeling
  • ROS / ROS2 integration
  • Computer vision
  • AI-based autonomy

Module 9 – Safety, Regulations & Defence Standards

  • Fail-safe & redundancy
  • DGCA / FAA guidelines
  • Cybersecurity for UAVs
  • Defence-grade UAV systems

Capstone – Autonomous UAV Project

  • Design & simulate UAV
  • Autonomous mission execution
  • Sensor fusion & navigation
  • Defence-style system review