Course title: FPV Drone and Raptor Flight Engineering with Embedded Control Integration
Course details: “FPV Drone and Raptor Flight Engineering with Embedded Control Integration” is a hands on winter internship that guides learners through the complete process of building and understanding modern UAV systems. The course covers FPV drone construction, Raptor style fixed wing design, Ardupilot setup, SpeedyBee controller configuration, sensor calibration, PID tuning, and practical mission planning. Students will also learn embedded system integration for onboard control and custom payload development. With focused practical sessions, flight testing, and mini projects, this program helps participants gain strong industry oriented skills in UAV design, flight control, and real world drone applications.
Syllabus:
Week-I:
Introduction to UAV and FPV systems, FPV drone components and construction workflow, Multirotor aerodynamics and flight principles, Electronics used in FPV platforms, Assembly of FPV drone including wiring and soldering, Introduction to Ardupilot and SpeedyBee configuration, Basic FPV programming and calibration for stable multirotor flight.
Week-II:
Raptor fixed wing design and construction, Aerodynamic parameters such as wing loading and center of gravity, Integration of motor, ESC and flight controller for fixed wing aircraft, Servo installation and linkage setup for directional control, Programming for fixed wing operation using Ardupilot, Channel mapping and fine tuning for smooth flight response. Sensor integration for drone applications, Interfacing GPS, LCD, rain sensor, vibration, PIR and ultrasonic sensors, Introduction to Lidar/ultrasonic based obstacle sensing and distance measurement, Embedded programming using ESP32/Arduino UNO or similar microcontrollers.
Week-III:
Assignments/Task:
1. Develop a simple obstacle detection script for drone applications Objective: Using ultrasonic or Lidar data, participants program a basic warning or response mechanism.
2. Build a Simple Environmental Monitoring drone Objective: Learners integrate sensors such as temperature, humidity or light and visualize the collected data for potential drone-based applications.
3. Implement a GPS-based Position Monitoring System for drone Objective: Students read GPS data, extract latitude and longitude, and display live coordinates on a serial monitor or OLED screen
4. Building an air pollution monitoring drone Objective: Students read sensors data to find AQI of a particular region
(Additional tasks will be provided based on the number of participants)
