DocumentCode :
2380906
Title :
Robust velocity sliding mode control of mobile wheeled inverted pendulum systems
Author :
Huang, Jian ; Wang, Hongwei ; Matsuno, Takayuki ; Fukuda, Toshio ; Sekiyama, Kousuke
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2009
fDate :
12-17 May 2009
Firstpage :
2983
Lastpage :
2988
Abstract :
There has been an increasing interest in a kind of underactuated mechanical systems, mobile wheeled inverted pendulum (MWIP) models, which are widely used in the field of autonomous robotics and intelligent vehicles. Robust velocity tracking problem of MWIP systems is investigated in this study. In the velocity control problem, model uncertainties accompany uncertain equilibriums, which make the controller design become more difficult. A sliding mode control (SMC) method based on a novel sliding surface is proposed for the systems, which are capable of handling both parameter uncertainties and external disturbances. By assuming the specially designed sliding surface, the proposed SMC controller is capable of eliminating the steady velocity tracking error. The asymptotical stability of the closed-loop system is achieved through selecting sliding surface parameters in terms of some rules. The effectiveness of the proposed methods is finally confirmed by numerical simulations.
Keywords :
closed loop systems; control system synthesis; mobile robots; nonlinear control systems; numerical analysis; pendulums; robot dynamics; robot kinematics; robust control; uncertain systems; variable structure systems; velocity control; autonomous robotics; closed-loop system; controller design; external disturbances; intelligent vehicles; mobile wheeled inverted pendulum systems; numerical simulations; parameter uncertainties; robust velocity sliding mode control; sliding surface; uncertain equilibriums; underactuated mechanical systems; velocity control; Intelligent robots; Intelligent vehicles; Mechanical systems; Mobile robots; Robust control; Robustness; Sliding mode control; Uncertain systems; Uncertainty; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
ISSN :
1050-4729
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2009.5152418
Filename :
5152418
Link To Document :
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