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Attitude and Heading Reference System for Quadrotor Based on MEMS Sensors

Authors: Qiang Jiang; Yong Zeng; Qiang Liu; Hua Jing;

Attitude and Heading Reference System for Quadrotor Based on MEMS Sensors

Abstract

This paper deals with designing and implementation of Attitude and Heading Reference System (AHRS) which based on data fusion of multi-sensor. And it presents an approach of designing a low cost AHRS which used Micro Electronic Mechanical System (MEMS). In our approach, AHRS is made up of a 3-axes MEMS accelerometers, a 3-axes MEMS rate-gyros, an electronic compass and a FPGA which is used as the signal processor. Furthermore, a rotation quaternion and a Kalman Filter were the options as multi-sensor data fusion and integration. Finally, an experiment was introduced to analyze the attitude data carried on quadrotor. The simulation test shows when the carrier is in dynamic environment, the attitudes error are within 2°. The results show that the designed AHRS provided stabilized attitude and heading angles in dynamic conditions which improved the quadrotor's attitude and heading control.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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