DocumentCode :
174902
Title :
Polynomial degree determination for temperature dependent error compensation of inertial sensors
Author :
Gunhan, Yesim ; Unsal, Derya
Author_Institution :
Guidance & Control Design Dept, Roketsan Missiles Ind. Inc., Ankara, Turkey
fYear :
2014
fDate :
5-8 May 2014
Firstpage :
1209
Lastpage :
1212
Abstract :
MEMS based Inertial Measurement Units, which include MEMS accelerometers and gyroscopes, have a wide range of applications due to their low cost, small size and low power consumption. IMU error should be reduced to the lowest level so as to minimize errors of navigation systems which use MEMS IMU. MEMS sensors have bias, scale factor as well as temperature change of these errors. In the error compensation algorithm, polynomials are used to compensate temperature dependent change of errors. The degree of polynomials, which are determined according to sensor characteristics, affect IMU performance. Therefore, optimum degree must be determined by various methods and studies. In this paper, temperature dependent errors of MEMS inertial sensors will be defined and how to determine degree of polynomial will be explained so as to compensate errors by the optimum way. Several simulation studies are supported with real sensor data.
Keywords :
accelerometers; error compensation; gyroscopes; microsensors; polynomials; IMU error; MEMS accelerometers; MEMS based inertial measurement units; MEMS gyroscopes; MEMS inertial sensors; bias; error minimization; low power consumption; navigation systems; optimum degree; polynomial degree determination; scale factor; sensor characteristics; temperature dependent error compensation algorithm; Accelerometers; Polynomials; Sensor phenomena and characterization; Temperature; Temperature dependence; Temperature sensors; compensation; inertial sesnsor; polynomial degree; temperature characteristic of inertial sensor; temperature dependent error;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION
Conference_Location :
Monterey, CA
Print_ISBN :
978-1-4799-3319-8
Type :
conf
DOI :
10.1109/PLANS.2014.6851494
Filename :
6851494
Link To Document :
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