DocumentCode :
582295
Title :
Design and experiments of ALV longitudinal speed controllers based on a disturbance observer
Author :
Jian, Wang ; Zhenping, Sun ; Xin, Xu ; Daxue, Liu ; Jun, Wu
Author_Institution :
Coll. of Mechatron. & Autom., Nat. Univ. of Defense Tech, Changsha, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
4328
Lastpage :
4333
Abstract :
This paper develops a longitudinal speed controller for both on-road and off-road driving of autonomous land vehicles (ALVs) by introducing a disturbance observer. The disturbance observer is designed to estimate the disturbances of the environment and the model errors through using the difference between the outputs of the reference model and the ALV. After being filtered, the disturbances are compensated by the inverse of the model. The stability and robustness of the controller have also been discussed theoretically and validated experimentally. The controller´s performance in the urban traffic environment and the experimental results on the off-road terrain show that the presented controller is effective for both on-road and off-road autonomous driving.
Keywords :
compensation; control system synthesis; mobile robots; observers; roads; robust control; telerobotics; velocity control; ALV longitudinal speed controller design; autonomous land vehicle; controller robustness; controller stability; disturbance compensation; disturbance estimation; disturbance observer design; model errors; off-road autonomous driving; off-road terrain; on-road autonomous driving; urban traffic environment; Automation; Educational institutions; Electronic mail; Mechatronics; Observers; Sun; Vehicle dynamics; Autonomous Land Vehicle (ALV); Disturbance Observer; Inverse Dynamic Model Control; Longitudinal Control; Non-parametric Dynamic Model; Speed Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
ISSN :
1934-1768
Print_ISBN :
978-1-4673-2581-3
Type :
conf
Filename :
6390686
Link To Document :
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