This design allows students to compare different methods of attitude estimation, such as using pre-calculated data from the BNO080 versus implementing custom sensor fusion (Kalman filters, Madgwick algorithms, or complementary filters) using raw data from the ICM-20602. Hardware Architecture & Connectivity
A unique feature of the MH-FC V2.2 is its dual Inertial Measurement Unit (IMU) configuration: Mh-fc V2.2
A high-performance 6-axis sensor used to measure rotational rates (angular velocity) for stabilization. This design allows students to compare different methods
Writing drivers for SPI, I2C, and UART from scratch using tools like STM32CubeMX . Mh-fc V2.2
The board is built around the 32-bit ARM Cortex-M architecture, providing the necessary processing power for complex sensor fusion and PID control algorithms.
Learning how to merge accelerometer and gyroscope data to calculate a drone's precise orientation.