Selection of Network Parameters in Wireless Control of Bilateral Teleoperated Manipulators

This paper describes how to establish performance charts for selection of network parameters for effective utilization of a bilateral teleoperated manipulator working under a wireless communication channel. The goal is to construct a set of charts that help researchers and engineers to select appropriate parameters of wireless network setup for a known configuration of environment obstruction. To achieve this goal, a teleoperated setup comprising a master haptic device, a slave manipulator dynamic simulator, and a communication channel emulated using the network simulator version 2 (NS2) simulator is first developed. Next, performance indices are defined to evaluate the quality of position tracking of the slave manipulator end-effector and force tracking of the master haptic. Three indices chosen in this paper are the integral of squared position and force errors, the integral of absolute position and force error, and the amplitude of position and force overshoot. Extensive experiments on the developed setup are then conducted to study effects of time-varying packet loss on the performance of the teleoperated system. The largest mean packet loss, at which the system exhibits satisfactory tracking, is then quantified. This packet loss is used as an indicator to define regions representing the quality of tracking. The effectiveness of the proposed technique is validated by testing a fully instrumented hydraulically actuated system under various real wireless channel scenarios.

[1]  Svilen Ivanov,et al.  Experimental Validation of the ns-2 Wireless Model using Simulation, Emulation, and Real Network , 2011 .

[2]  Nariman Sepehri,et al.  Effect of Network Quality on Performance of Bilateral teleoperated hydraulic actuators: a Comparative Study , 2013, Control. Intell. Syst..

[3]  Nariman Sepehri,et al.  A practical method for friction identification in hydraulic actuators , 2011 .

[4]  Riccardo Muradore,et al.  Improving Performance of Networked Control Systems by Using Adaptive Buffering , 2014, IEEE Transactions on Industrial Electronics.

[5]  Gerald Matz,et al.  Fundamentals of Time-Varying Communication Channels , 2011 .

[6]  Nariman Sepehri,et al.  Design and experimental evaluation of a QFT contact task controller for electro‐hydraulic actuators , 2007 .

[7]  Maarten Steinbuch,et al.  Robust High Performance Bilateral Teleoperation Under Bounded Time-Varying Dynamics , 2015, IEEE Transactions on Control Systems Technology.

[8]  Imad H. Elhajj,et al.  Haptic information in Internet-based teleoperation , 2001 .

[9]  Nariman Sepehri,et al.  WIRELESS CONTROL OF A TELEOPERATED HYDRAULIC MANIPULATOR WITH APPLICATION TOWARDS LIVE-LINE MAINTENANCE , 2013 .

[10]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[11]  Nariman Sepehri,et al.  Live-line maintenance training using robotics technology , 2013, 2013 World Haptics Conference (WHC).

[12]  Nariman Sepehri,et al.  Decentralized Coordinated Motion Control of Two Hydraulic Actuators Handling a Common Object , 2007 .

[13]  Andreas Ritter,et al.  Hydraulic Control Systems , 2016 .

[14]  SPYROS G. TZAFESTAS,et al.  A Novel Scheme for Human-Friendly and Time-Delays Robust Neuropredictive Teleoperation , 1999, J. Intell. Robotic Syst..

[15]  Teerawat Issariyakul,et al.  Introduction to Network Simulator NS2 , 2008 .

[16]  K. Ohnishi,et al.  Wireless Haptic Communication Under Varying Delay by Switching-Channel Bilateral Control With Energy Monitor , 2012, IEEE/ASME Transactions on Mechatronics.

[17]  P. X. Liu,et al.  Bilateral Control of Teleoperation Systems With Time Delay , 2015, IEEE/ASME Transactions on Mechatronics.

[18]  Blake Hannaford,et al.  Stability and performance tradeoffs in bi-lateral telemanipulation , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[19]  Kouhei Ohnishi,et al.  Frequency-Domain Damping Design for Time-Delayed Bilateral Teleoperation System Based on Modal Space Analysis , 2013, IEEE Transactions on Industrial Electronics.

[20]  Jason Liu,et al.  Experimental evaluation of wireless simulation assumptions , 2004, MSWiM '04.

[21]  Dongjun Lee,et al.  Experimental Comparison Study of Control Architectures for Bilateral Teleoperators , 2009, IEEE Transactions on Robotics.

[22]  Jianwei Zhang,et al.  A Vision-Based Broken Strand Detection Method for a Power-Line Maintenance Robot , 2014, IEEE Transactions on Power Delivery.

[23]  Lan truyền,et al.  Wireless Communications Principles and Practice , 2015 .

[24]  Nariman Sepehri,et al.  EXPERIMENTAL EVALUATION OF BILATERAL CONTROL SCHEMES APPLIED TO HYDRAULIC ACTUATORS: A COMPARATIVE STUDY , 2009 .

[25]  Vincent Hayward,et al.  A Stable and Transparent Microscale Force Feedback Teleoperation System , 2015, IEEE/ASME Transactions on Mechatronics.

[26]  Nariman Sepehri,et al.  Dynamic analysis of variable structure force control of hydraulic actuators via the reaching law approach , 2004 .