complementary filter

RESPONSE TIME IN INERTIAL MEASUREMENT UNIT CONTROL ALGORITHMS

The Inertial Measurement Unit (IMU) [1] is a cornerstone technology in various fields, ranging from aerospace to consumer electronics, where accurate motion tracking is paramount. Central to the effectiveness of an IMU is the quality of data processing, particularly in the context of filtering techniques. This study compares two filtering methods: Complementary Filters and Kalman Filters, in their application to IMU data processing. Complementary Filters, known for their simplicity and efficiency, contrast with the more complex but potentially more accurate Kalman Filters.

IMPROVING THE NAVIGATION SYSTEM OF UNDERGROUND PIPE DEFECT DETECTION DEVICE

This article addresses the issue of noise and drift in microelectromechanical gyroscopes and their impact on measurement accuracy in engineering applications. The use of a complementary filter is proposed to combine information from the accelerometer and gyroscope to reduce inaccuracies. Research shows that the accelerometer has better result repeatability, which is important for obtaining stable measurements. At the same time, the gyroscope may be more effective in measuring translational movements.