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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dacheng Du Li Liu Xiaojing Du |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Aerospace Engineering, Beijing Institute of Technology, 100081, China (Dacheng Du; Li Liu; Xiaojing Du) |
| Abstract | In this paper, a low-cost attitude estimation system is introduced. The system is developed with MEMS sensors including rate gyros and accelerometers. Composition and principle of the system are described. The rigid body kinematics is modeled with quaternion, such that eliminates attitude estimation singularities. The real-time Kalman filter is designed. Experiments were conducted in both static and dynamic conditions. The experimental results demonstrate that the algorithm and hardware are feasible and suitable for the application where critical accuracy and real-time requirements are needed. |
| Starting Page | 4489 |
| Ending Page | 4492 |
| File Size | 321625 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424451814 |
| DOI | 10.1109/CCDC.2010.5498326 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Accelerometers Attitude control Attitude estimate Quaternion Kalman filter Aerospace electronics Sensor systems Aircraft navigation Vehicle dynamics Micromechanical devices Quaternions Kinematics Unmanned aerial vehicles MEMS sensors |
| Content Type | Text |
| Resource Type | Article |
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