Adaptive Controller Design of Pneumatic Teleoperation System

This paper presents an adaptive control design of a pneumatic teleoperation system that could be useful for applications like MRI-guided surgery. The system under study is special because of its reduced number of components compared to other bilateral teleoperation systems, which reduces cost and complexity. The direct fluidic connection and the force feedback that is transferred to the human operator allow the operator to feel as if s/he were having physical contact with the environment without the need for a force sensor on the slave actuator. A simulation model that allows stability and transparency assessment is presented in detail. A linear controller is optimized for various operating remote environments via transparency assessment. The linear controller leads to good results for certain operating environments, but its tuning is dependent on the impedance characteristic of the environments both on the master and slave sides. Since the system must perform under parametric uncertainties on both sides of the teleoperator, an adaptive control scheme is developed. A self-tuning regulator is designed to allow the teleoperator to cope with a variable environment. The control design is validated in simulation and yielded satisfactory performance under multiple environment settings.Copyright © 2015 by ASME

[1]  Peter Beater,et al.  Pneumatic Drives: System Design, Modelling and Control , 2007 .

[2]  Ming Zhu,et al.  Achieving transparency for teleoperator systems under position and rate control , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[3]  Dale A. Lawrence Stability and transparency in bilateral teleoperation , 1993, IEEE Trans. Robotics Autom..

[4]  Matthias Liermann,et al.  Passive pneumatic teleoperation system , 2013 .

[5]  Mark W. Spong,et al.  Bilateral teleoperation: An historical survey , 2006, Autom..

[6]  Mahdi Tavakoli,et al.  Revisiting Llewellyn's absolute stability criterion for bilateral teleoperation systems under non-passive operator or environment , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Karl Johan Åström,et al.  Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.

[8]  Chao Liu,et al.  Stability and performance analysis of three-channel teleoperation control architectures for medical applications , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Panadda Marayong,et al.  The effect of visual and haptic feedback on computer-assisted needle insertion , 2004, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[10]  Claudio Pacchierotti,et al.  Improving transparency in passive teleoperation by combining cutaneous and kinesthetic force feedback , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Allison M. Okamura,et al.  Environment Parameter Estimation during Bilateral Telemanipulation , 2006, 2006 14th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems.

[12]  Oliver Sawodny,et al.  Dynamic modeling of pneumatic transmission lines in Matlab/Simulink , 2011, Proceedings of 2011 International Conference on Fluid Power and Mechatronics.

[13]  Katsuhiko Ogata,et al.  Modern Control Engineering , 1970 .