DocumentCode :
2438974
Title :
Stimulation current control for load-aware electrotactile haptic rendering: Modeling and simulation
Author :
Gregory, John ; Shen, Yantao ; Xi, Ning
Author_Institution :
Wintek Electro-Opt. Co., Ann Arbor, MI, USA
fYear :
2011
fDate :
20-23 June 2011
Firstpage :
341
Lastpage :
346
Abstract :
This paper presents our work on generalization of the first-order fingertip skin bio-impedance model that is presented to the instantaneous stimulation current. The generalized dynamic model is based on our experimental finding that one of the bio-impedance parameter, stratum corneum resistance Rp, is inversely related to the stimulation current. The model is necessitated by the type of our constant-voltage-driver (CVD)-based electrotactile haptic rendering system, which features closed-loop load-aware capability in contrast to constant-current-driver (CCD) systems. Relying on this model and on-line estimated bio-impedance parameters, by employing a direct model reference adaptive control (MRAC) method, the stimulation current output to the fingertip skin tracking a desired pulsed reference current is realized. The modeling and control results based on the generalized model are shown to be preliminarily valid from simulation when compared to experimental results. This work will be useful in developing a smart load - aware electrotactile haptic rendering system that is capable of adapting the stimulation current from changing electro-bioimpedance conditions of the fingertip skin.
Keywords :
electric current control; haptic interfaces; model reference adaptive control systems; bio-impedance parameter; closed-loop load-aware capability; constant-current-driver systems; constant-voltage-driver-based electrotactile haptic rendering system; first-order fingertip skin bio-impedance model; generalized dynamic model; instantaneous stimulation current; load-aware electrotactile haptic rendering; model reference adaptive control; stimulation current control; stratum corneum resistance; Conferences; Educational institutions; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Robotics (ICAR), 2011 15th International Conference on
Conference_Location :
Tallinn
Print_ISBN :
978-1-4577-1158-9
Type :
conf
DOI :
10.1109/ICAR.2011.6088646
Filename :
6088646
Link To Document :
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