DocumentCode
2315511
Title
BMP: A self-balancing mobile platform
Author
Li, Bin-bin ; Zhu, Jin-hvi ; Min, Hua-qing
Author_Institution
Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China
Volume
3
fYear
2012
fDate
15-17 July 2012
Firstpage
868
Lastpage
874
Abstract
The development of two wheels self-balancing robot has gained more and more attention over the past years. It is suitable for working in outdoor environment especially where the ground is not flat. This paper describes our works on building a self-Balancing Mobile Platform named BMP. We build the dynamic model to find the relation between the robot posture and output voltages applying on the motors. An accelerometer and gyroscope are used to estimate the posture through Kalman filter algorithm. Then a multi-segment PID controller changes the motor voltage according to the platform motion mode and posture. The experiments are carried out in simulation, then on the real platform. The results of the experiments show that BMP works effectively and robustly.
Keywords
Kalman filters; accelerometers; estimation theory; gyroscopes; mobile robots; motion control; robot dynamics; three-term control; BMP; Kalman filter algorithm; accelerometer; dynamic model; gyroscope; motor voltage; multisegment PID controller; outdoor environment; output voltages; platform motion mode; posture estimation; robot posture; self-balancing mobile platform; two wheels self-balancing robot; Abstracts; Mobile robots; Robot sensing systems; Kalman filter; PID control; Robotic; inverted pendulum;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location
Xian
ISSN
2160-133X
Print_ISBN
978-1-4673-1484-8
Type
conf
DOI
10.1109/ICMLC.2012.6359467
Filename
6359467
Link To Document