DocumentCode :
177246
Title :
LQR controller design for two-wheeled robot with a movable seat
Author :
Wenzeng Guo ; Xueshan Gao ; Shigong Jiang ; Chengguo Zong ; Fuquan Dai
Author_Institution :
Beijing Inst. of Technol., Beijing, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
5248
Lastpage :
5253
Abstract :
A two-wheeled robot with a movable seat is proposed in this paper, which can turn with zero-radius and whose seat can move up and down, front and back. Firstly, the overall structure and the control system of the robot is introduced; secondly, a new filtering method called RC and Kalman filtering method is designed to get the posture of the robot; then, the robot´s dynamics model is established by Lagrange´s function method and locally linearized; finally, the LQR controller is developed to make the robot walk straight on the flat ground and verified in MATLAB/Simulink. Simulation results show that the dynamic model and the LQR controller are effective.
Keywords :
Kalman filters; control system synthesis; linear quadratic control; mobile robots; robot dynamics; seats; wheels; Kalman filtering method; LQR controller design; Lagrange function method; MATLAB/Simulink; RC filtering method; control system; flat ground; movable seat; robot dynamics model; two-wheeled robot; DC motors; Legged locomotion; Mathematical model; Micromechanical devices; Robot sensing systems; Wheels; LQR controller; RC-Kalman filter; movable seat; two-wheeled robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6853117
Filename :
6853117
Link To Document :
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