Ever wondered what really happens inside a drone the moment it leaves the ground? Beyond the marketing terminology lies a sophisticated combination of aerodynamics, propulsion, sensors, control systems, software, and autonomous decision-making.
Drone Engineering and Autonomous Flight explores these systems from an engineering perspective, taking readers beyond basic drone assembly into the principles and technologies used to design, control, navigate, and operate unmanned aerial systems.
The book begins with the foundations of airframe design, aerodynamics, structural materials, propulsion sizing, power management, and vibration control. It then moves into flight-control architecture, sensor integration, sensor fusion, PID control, and Kalman filtering to explain how autonomous aircraft maintain stability and respond to changing conditions.
You will also explore GPS and RTK positioning, navigation in GPS-denied environments, indoor navigation, visual-inertial odometry, obstacle detection, autonomous path planning, computer vision, and onboard machine learning. Advanced topics include payload integration, multi-drone coordination, formation flying, testing, calibration, diagnostics, safety engineering, regulatory considerations, and commercial operations.
Whether you are an engineering student, a professional entering the UAV field, or a developer working toward more capable autonomous platforms, this book provides a structured foundation for understanding the technologies that make modern unmanned flight possible.
The goal is not simply to teach you how drones fly, but to help you understand the engineering decisions behind their design, control, navigation, and deployment.