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
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;
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
DOI :
10.1109/ICICIS.2011.46