DocumentCode
2098069
Title
Impedance Control for Vehicle Driving with Human Operation Under Unstructured Environment
Author
Shenghao, Zhou ; Jinchun, Song
Author_Institution
Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
fYear
2011
fDate
17-18 Sept. 2011
Firstpage
159
Lastpage
162
Abstract
In the human-machine systems impedance control and admittance control methods are wildly used. Impedance control is a dynamic mapping from motion to force and admittance control is a dynamic mapping from force to motion. In this paper, position-based impedance control system is constructed in human-vehicle interaction to adapt to human operation under unstructured environment. For predicting the desired impedance, a predictive fuzzy inference algorithm is purposed. Finally an experiment using driving simulator is set up to verify the effectiveness of constructed impedance control system.
Keywords
electric admittance; electric impedance; force control; fuzzy control; fuzzy reasoning; man-machine systems; mobile robots; motion control; position control; predictive control; vehicles; admittance control; driving simulator; dynamic mapping; force control; human operation; human-machine system; human-vehicle interaction; mobile robot; motion control; position-based impedance control system; predictive fuzzy inference algorithm; unstructured environment; vehicle driving; Control systems; Humans; Impedance; Joints; Roads; Robots; Vehicles; Impedance control; desired impedance; human-machine system; predictive fuzzy control;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4577-1561-7
Type
conf
DOI
10.1109/ICICIS.2011.46
Filename
6063218
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