An LMI Approach to Guaranteed Cost Control Design for Teleoperation Systems

A procedure for the guaranteed cost control design of delayed bilateral teleoperation systems with nonlinear external forces is proposed. The assumption that the external forces are nonlinear functions of velocities and/or positions of local devices and that one part of these forces satisfies sector condition has been made. A stability criterion is formulated firstly and then the optimal guaranteed cost controller is obtained by solving the equivalent convex optimization problem in the form of linear matrix inequalities (LMIs). The controller preserves closed-loop stability regardless of the delay length. The behavior of the resulting teleoperation system is illustrated in simulations.

[1]  Romeo Ortega,et al.  An adaptive controller for nonlinear teleoperators , 2010, Autom..

[2]  Peter Xiaoping Liu,et al.  Nonlinear adaptive control for teleoperation systems with symmetrical and unsymmetrical time-varying delay , 2015, Int. J. Syst. Sci..

[3]  Emmanuel Nuno,et al.  An adaptive controller for nonlinear teleoperators with variable time-delays , 2014, J. Frankl. Inst..

[4]  Jean-Jacques E. Slotine,et al.  Telemanipulation with Time Delays , 2004, Int. J. Robotics Res..

[5]  Li Yu,et al.  An LMI approach to guaranteed cost control of linear uncertain time-delay systems , 1999, Autom..

[6]  M.W. Spong,et al.  Adaptive coordination control of bilateral teleoperators with time delay , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[7]  Rogelio Lozano,et al.  Synchronization of bilateral teleoperators with time delay , 2008, Autom..

[8]  Xin-Ping Guan,et al.  New stability criteria for networked teleoperation system , 2013, Inf. Sci..

[9]  Hanlei Wang,et al.  Passivity based task-space bilateral teleoperation with time delays , 2011, 2011 IEEE International Conference on Robotics and Automation.

[10]  Yen-Chen Liu Task-space bilateral teleoperation systems for heterogeneous robots with time-varying delays , 2015, Robotica.

[11]  Romeo Ortega,et al.  Passivity-based control for bilateral teleoperation: A tutorial , 2011, Autom..

[12]  R. Ortega,et al.  Adaptive Scale Robust Segmentation for 2D Laser Scanner , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Yongqiang Ye,et al.  Improving Trajectory Tracking in Wave-Variable-Based Teleoperation , 2010, IEEE/ASME Transactions on Mechatronics.

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

[15]  Romeo Ortega,et al.  Position Tracking for Non-linear Teleoperators with Variable Time Delay , 2009, Int. J. Robotics Res..

[16]  Maxim Kristalny,et al.  On the decentralized H2 optimal control of bilateral teleoperation systems with time delays , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[17]  Mark W. Spong,et al.  Bilateral control of teleoperators with time delay , 1989 .

[18]  Jean-Jacques E. Slotine,et al.  Stable Adaptive Teleoperation , 1990, 1990 American Control Conference.

[19]  S. Munir,et al.  Internet based teleoperation using wave variables with prediction , 2001, 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556).

[20]  Hanlei Wang,et al.  Task-Space Synchronization of Networked Robotic Systems With Uncertain Kinematics and Dynamics , 2013, IEEE Transactions on Automatic Control.

[21]  Mark W. Spong,et al.  Bilateral Teleoperation Over Unreliable Communication Networks , 2008, IEEE Transactions on Control Systems Technology.