7 Flight Control Law Design | Model Based Quadcopter Autopilot Design

In this video, we walk through the complete process of designing flight control laws for a quadcopter using Simulink. You'll learn how to develop and tune key control loops including:

🔹 Control Allocation – Distributing control commands to the motors
🔹 Attitude Control – Regulating pitch and roll for stability
🔹 Yaw Control – Managing heading direction
🔹 Altitude Control – Maintaining desired height
🔹 Position Control – Navigating to target locations

We demonstrate how to use powerful Simulink tools such as the Model Linearizer to linearize your system, the PID Tuner to automatically tune control loops, and the Response Optimizer to fine-tune performance based on design goals.

Whether you're working on UAVs, robotics, or flight simulation, this video will give you a solid foundation in model-based design of quadcopter flight controllers.

🔧 Tools used: Simulink, Simulink Control Design
🎯 Suitable for: Aerospace engineers, robotics developers, control system designers, and students

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#Simulink #MATLAB #AutonomousSystems #control #modelbaseddesign #QuadcopterSimulation #drone

References & Learning Resources
✅ 'Flying car' demo flight canceled at Osaka Expo due to broken parts
https://www3.nhk.or.jp/nhkworld/en/news/20250427_09/
✅ Generalised popularity-similarity optimisation model for growing hyperbolic networks beyond two dimensions
https://www.nature.com/articles/s41598-021-04379-1/figures/1
✅ An Introduction To Surrogate Optimization: Intuition, illustration, case study, and the code
https://medium.com/data-science/an-introduction-to-surrogate-optimization-intuition-illustration-case-study-and-the-code-5d9364aed51b

Видео 7 Flight Control Law Design | Model Based Quadcopter Autopilot Design канала Martin | Robotics, Control, Model Based Design