A MEMS based, low cost GPS-aided INS for UAV motion sensing


Lim, Chot Hun and Lim, Tien Sze and Koo, Voon Chet (2014) A MEMS based, low cost GPS-aided INS for UAV motion sensing. In: 2014 IEEE/ASME International Conference onAdvanced Intelligent Mechatronics (AIM). IEEE, pp. 576-581. ISBN 978-1-4799-5736-1

[img] Text
A MEMS based, low cost GPS-aided INS for UAV motion sensing.pdf
Restricted to Repository staff only

Download (2MB)


This paper presents a new design and development of a low cost GPS (Global Positioning System)-aided INS (Inertial Navigation System) using Micro-ElectroMechanical-System (MEMS) inertial sensor. A typical MEMS type inertial sensor consists of three orthogonally aligned accelerometers and three orthogonally aligned gyroscopes confined in a very small chip. In this paper, the intensive preprocessing and modeling techniques of MEMS inertial sensor's primitive, noisy motion data are outlined. These techniques transform the erroneous motion data into usable motion indicators illustrated in three-dimensional position, three-dimensional velocity, and three-dimensional orientation. GPS serves as an aiding device to tune the MEMS inertial sensor's measurements through Kalman filter, while extra sensory feedbacks from magnetometers are employed to improve the system performance. Experiment was conducted to evaluate the performance of the GPS-aided INS by installing it into an Unmanned Aerial Vehicle (UAV) for motion sensing. Lastly, the experiment results are evaluated and verified using the motion data generated from a commercial navigation system.

Item Type: Book Section
Additional Information: 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) Besançon, France, July 8-11, 2014
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 18 Sep 2014 02:57
Last Modified: 18 Sep 2014 02:57
URII: http://shdl.mmu.edu.my/id/eprint/5743


Downloads per month over past year

View ItemEdit (login required)