Development of a Low-cost IMU by Using Sensor Fusion for Attitude Angle Estimation

Abstract

The objective of this research was to explore the use of data information of a low-cost IMU to provide an attitude angle with acceptable accuracy for agricultural robot. This work was an attempt to create attitude angle estimation system via sensor fusion method based on a triple gyroscope and a tri-axis accelerometer in this low-cost IMU. The used algorithm processed and integrated the data from the gyroscope and the accelerometer using a mean filter and a Kalman filter. Under this algorithm, the experiment data showed that the estimation precision was improved effectively. It can solve noise jamming, and be especially suitable for the robot which is sensitive to the payload and cost effective.