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Learn to enhance MPU6050 IMU sensor performance by implementing a complementary filter algorithm for improved roll and pitch measurements. Discover how to combine accelerometer and gyroscope data through sensor fusion techniques to achieve fast, accurate readings with reduced noise and drift. Explore the MPU6050's three-axis accelerometers and gyroscopes, understanding how they measure acceleration and rotational velocity respectively. Master the step-by-step process of activating and programming the gyroscopes to measure rotational velocity in radians per second around the X, Y, and Z axes. Follow detailed instructions for connecting the MPU6050 module to your Arduino Uno R4 WiFi and implementing the complementary filter code. Understand how this filter algorithm exploits the best properties of both accelerometers and gyroscopes to eliminate short-term noise while preventing long-term drift, resulting in superior roll, pitch, and yaw measurements compared to using either sensor type alone.
