Implementation of Kalman Filter using Gyroscope
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Date
2012
Journal Title
Journal ISSN
Volume Title
Publisher
UMT Lahore
Abstract
The project serves the study of Kalman filter and its implementation on microcontroller. We have successfully developed its application by implementing it on microcontroller and developed a stable system by using MEMS-based accelerometer and gyroscope. Kalman filter is implemented for error compensation in the sensor values. This project has vast applications ranging from robotics to complete self-balancing and is a very important step forward towards the industry having motion-sensing-based applications. This is the era of automation; hence, autopilots, drones, and quadcopters are heavily using IMU to stabilize their system.