DocumentCode :
3520520
Title :
Modeling, characterization and control of antagonistic SMA springs for use in a neurosurgical robot
Author :
Mingyen Ho ; Desai, Jaydev P.
Author_Institution :
Dept. of Mech. Eng. Maryland Robot. Center, Univ. of Maryland, College Park, MD, USA
fYear :
2013
fDate :
6-10 May 2013
Firstpage :
2503
Lastpage :
2508
Abstract :
In this paper, we model and characterize the thermomechanical behavior of SMA springs based on Brinson´s constitutive model of SMAs. The model developed in this paper can be used to compute the recovery length of SMA springs. We used the model to develop a temperature feedback position controller to control the joint motion of the SMA spring-actuated robot. We also implemented a position controller for the robot using image feedback because the robot was designed to be operated under MRI guidance. Since the image tracking algorithm for image feedback control may fail in some situations, the temperature feedback controller can be used as a backup control scheme for the robot. The experimental results showed that the image feedback controller worked well while the temperature feedback controller did not. This is because the theoretical model did not include the nonlinear characteristics of the tendon-sheath mechanisms. Therefore, we used an empirical model to implement a temperature feedback controller and it was used to control the robot precisely.
Keywords :
actuators; biomedical MRI; feedback; medical robotics; motion control; neurophysiology; position control; shape memory effects; springs (mechanical); surgery; Brinson constitutive model; MRI guidance; SMA spring-actuated robot; antagonistic SMA springs; backup control scheme; image feedback control; joint motion control; neurosurgical robot; temperature feedback controller; temperature feedback position controller; tendon-sheath mechanisms; thermomechanical behavior; Computational modeling; Feedback control; Joints; Robots; Springs; Stress; Temperature control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
ISSN :
1050-4729
Print_ISBN :
978-1-4673-5641-1
Type :
conf
DOI :
10.1109/ICRA.2013.6630918
Filename :
6630918
Link To Document :
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