Module #1 Introduction to Drone Flight Dynamics Overview of drone flight dynamics, importance of control systems, and course objectives.
Module #2 Drone Aerodynamics Fundamentals of aerodynamics, lift, drag, and thrust forces, and their impact on drone flight.
Module #3 Drone Kinematics Study of drone motion, including position, velocity, and acceleration, and their relationships.
Module #4 Drone Dynamics Forces and moments affecting drone motion, including weight, lift, drag, and thrust.
Module #5 Drone Modeling Mathematical modeling of drone dynamics, including equations of motion and state-space representation.
Module #6 Control Systems Fundamentals Introduction to control systems, including feedback control, stability, and transfer functions.
Module #7 Drone Control Systems Design and implementation of control systems for drones, including PID controllers and state-space control.
Module #8 Sensor Systems for Drones Overview of sensor systems used in drones, including GPS, accelerometers, and gyroscopes.
Module #9 Sensor Fusion for Drone State Estimation Techniques for combining sensor data to estimate drone state, including Kalman filters and complementary filters.
Module #10 Attitude Control Control of drone attitude, including pitch, roll, and yaw, using sensors and control algorithms.
Module #11 Position Control Control of drone position, including altitude, latitude, and longitude, using GPS and control algorithms.
Module #12 Velocity Control Control of drone velocity, including forward, lateral, and vertical velocity, using sensors and control algorithms.
Module #13 Waypoint Navigation Implementation of waypoint navigation systems, including mission planning and execution.
Module #14 Obstacle Avoidance Techniques for obstacle avoidance, including sensor-based and machine learning-based approaches.
Module #15 Drone Stability and Control Analysis of drone stability and control, including frequency response and stability margins.
Module #16 Advanced Control Techniques Introduction to advanced control techniques, including model predictive control and robust control.
Module #17 Drone Flight Testing and Validation Methods for flight testing and validation of drone control systems, including simulation and hardware-in-the-loop testing.
Module #18 Regulations and Safety Considerations Overview of regulations and safety considerations for drone operation, including airspace regulations and risk assessment.
Module #19 Drone Autonomy and Swarming Introduction to drone autonomy and swarming, including autonomous decision-making and coordination.
Module #20 Machine Learning for Drone Control Application of machine learning techniques to drone control, including neural networks and reinforcement learning.
Module #21 Computer Vision for Drone Perception Use of computer vision for drone perception, including image processing and object detection.
Module #22 Drone Flight Dynamics and Control Case Studies Real-world case studies of drone flight dynamics and control systems, including applications and challenges.
Module #23 Drone Research and Development Overview of current research and development in drone flight dynamics and control, including emerging trends and technologies.
Module #24 Course Wrap-Up & Conclusion Planning next steps in Drone Flight Dynamics and Control career
