DocumentCode :
2482743
Title :
Estimation of inclination angle for balancing robots based on physical model
Author :
Kalvach, Arnold ; Dabóczi, Tamás
Author_Institution :
Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Budapest, Hungary
fYear :
2012
fDate :
13-16 May 2012
Firstpage :
1417
Lastpage :
1422
Abstract :
This paper presents a method for calculating the accurate inclination angle of a balancing robot using accelerometers and optionally angular rate sensor (rate gyroscope), based on systematic correction of sensor errors. The correction is calculated on the basis of physical model of the system. The basic idea of accelerometer-based inclination measurement is that accelerometers can measure the direction of gravity and thus its angle relative to the upright position. The problem is that in a moving robot not only gravitational acceleration is present, but also the acceleration and angular acceleration of the robot itself, hence the measurement is distorted with these parasitic accelerations. That is why often gyroscopes are used instead or beside the accelerometers. However, gyros have also systematic errors and are more expensive then accelerometers. In this paper we propose to use two accelerometers, each having 2 axes, and compensate the above parasitic accelerations based on a physical model. We developed an algorithm to accurately estimate the inclination angle.
Keywords :
accelerometers; angular measurement; gyroscopes; robots; accelerometer-based inclination measurement; accelerometers; angular rate sensor; balancing robots; gravitational acceleration; gravity direction; inclination angle estimation; moving robot; parasitic accelerations; physical model; rate gyroscope; sensor errors systematic correction; Acceleration; Accelerometers; Distortion measurement; Equations; Estimation; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
Conference_Location :
Graz
ISSN :
1091-5281
Print_ISBN :
978-1-4577-1773-4
Type :
conf
DOI :
10.1109/I2MTC.2012.6229518
Filename :
6229518
Link To Document :
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