Accelerometers and Gyroscopes - Sensor Fusion #1 - Phil's Lab #33

Part 1 of sensor fusion video series showing the need for combining sensor data, for example, to estimate the attitude of an aircraft (e.g. UAV) using an inertial measurement unit (IMU). Benefits and problems of typical sensors, such as accelerometers and gyroscopes. Real-world, practical considerations and demonstrations on a real-time embedded system (STM32-based, using the C language). Future videos will cover complementary filters and extended Kalman filters.

Free trial of Altium Designer: https://www.altium.com/yt/philslab

Visit https://jlcpcb.com/RHS for $2 for five 2-layer PCBs and $5 for five 4-layer PCBs.

Patreon:   / phils94  

Git: https://github.com/pms67

Serial Oscilloscope: https://x-io.co.uk/serial-oscilloscope/

Euler Angles: http://control.asu.edu/Classes/MMAE44... (from slide 17)

[TIMESTAMPS]
00:00 Introduction
00:14 JLCPCB and Git Repo
00:40 Altium Designer Free Trial
01:08 Video Overview
01:44 Why Sensor Fusion?
02:23 Example: Aircraft Attitude Estimation
03:29 Euler Angles
04:27 Accelerometer
07:18 Implementation: Accelerometer Attitude Estimation
09:48 Gyroscope
11:54 Implementation: Gyroscope Attitude Estimation
13:48 Conclusions

ID: QIBvbJtYjWuHiTG0uCoK