Tele operation systems
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I. The document discusses tele-operation systems and the challenges posed by time delays in such systems. It describes various control infrastructure methods that have been developed to address these challenges, including wave variables methods, Smith predictor methods, and sliding mode control methods. II. The key components of bilateral teleoperation systems are described, including the human operator, master controller, slave manipulator and environment. General issues around communication, control and network infrastructure for teleoperation are also covered. III. Simulation results are presented demonstrating the position, velocity, force and error responses between the master and slave systems for a teleoperation scenario.
![References
IEEE Journals:
[1] G. Niemeyer and J.-J. E. Slotine. “Using Wave
Variables for system Analysis and Robot Control”.
Proc. 1997 IEEE. Int. Conf. Robotics and
Automation, Albuquerque, New Mexico, pp 1619-
1625.
[2] J. H. Park and H. Cho, “Sliding–Mode Controller
for Bilateral Teleoperation with Varing Time Delay
[3] Elhajj and N. Xi, “Real–Time Control of Internet
Based Teleoperation with Force Reflection”, Proc.
2000 IEEE Int. Conf. Robotics and Automation,
San Francisco CA, April 2000.
4/23/2014](https://image.slidesharecdn.com/tele-operationsystems-140423030440-phpapp02/85/Tele-operation-systems-24-320.jpg)
Tele operation systems
- 1. Tele-Operation Systems Presence of “Linear Control Systems” Lecturer : Mansour.Nch TeleOperation Conference Email:PowerSt.Basu@gmail.com Tel: +98 – 935 658 9590 Summer 2013 R(S) G(S) F(S) H(S) 4/23/2014
- 2. Introduction indicates operation of a machine at a distance. but is most commonly associated with robotics and mobile robots but can be applied to a whole range of circumstances in which a device or machine is operated by a person from a distance. 4/23/2014
- 3. Integrated Model R(S) G(S) F(S) H(S) Tele-Operation System Human Operator Environment Xh -Xe Fh Fe 4/23/2014
- 4. Diagramof the bilateralTeleoperation Master System Slave System Communication System Vm Vmd fsfsd I. the human operator commands via a master manipulator by exerting a force fh II. The master moves with velocity: Vm III. the slave manipulator responds to the reference signal: Vmd IV. the force fs sensed as a result of contact with the environment and/or some external source. V. fe , is transmitted back to the master network, which results in the force fsd to the master. 4/23/2014
- 5. Infrastructures needed Communication Infrastructure Control Infrastructure Network Infrastructure Security Infrastructure 4/23/2014
- 6. Communication Infrastructure • This Scenario needs a high availability Connection to respond more faster! , so maybe H-system can solve this Problem H-System 4/23/2014
- 7. Master Device Slave Device A link with high availability Connection Usually uses Fiber-Optic Technology When Master fails , Slave Portion Detect this fault immediately and achieve the control mechanism so fast! This is a High Redundant Scenario 4/23/2014
- 8. Control Infrastructure Human Operator Hand Controller Local Delay Compensation Environment Remote Delay Compensation Mobile robot H1 H2 Delay Delay Remote SiteLocal Site 4/23/2014
- 9. A big challenge: Time Delay When local station sends electronic bits to remote station, some delay will be appeared in system output. several methods are presented since 1957 considering time delay. 1. in 1957, Time delay problem in process control was first tackled by Smith 2. 1981, Vertut showed that the stability of teleoperation systems with delay time could be achieved by decreasing bandwidth of the system 3. In 1997, Niemeyer and Slotine used wave variables method in teleoperation systems using passivity theory 4. In 1999, Maza and Velasco-Villa predicted the state of linear systems with time-delays in the input and the state 5. Park and Cho applied sliding mode methods for controller design in teleoperation systems with delay time in 1999 6. Prediction, generally in the form of smith predictors (smith 1957), can be combined with wave- based systems to reduce the effects of the delay (Ganjefar, Momeni & Janabi-sharifi 2002) 7. In 2003 Azorin used A new control method of teleoperations with time delay 8. In 2006 Sirouspour used a LQG controller in teleoperation systems with constant time delay 4/23/2014
- 10. 4/23/2014
- 11. General Bilateral Teleoperation • Bilateral: When the contact force is reflected via the master • actuator to the operator’s hand, the teleoperator system • is said to be bilateral or force reflecting. • A bilateral teleoperation Components Human Master Controller Slave Environment Vh Vm Vmd Ve fh fsd fs fe 4/23/2014
- 12. Scenario of Time Delay in WAN • The challenge of delivering a packet to the remote station contains the following factors: • 1. TTL • 2. bandwidth • 3. WAN Speed • 4. security parameters • 5. signal processing (Noise , etc.) 4/23/2014
- 13. Wave variables method • presents a modification or extension to the theory of passivity • This method is also closely related to the scattering and small gain theories. b √(2b) √(2b) X F U V F is force X is velocity U is forward V is backward The basic wave transformation 4/23/2014
- 14. SMITH Predictor Method • For systems with a pure transport lag • allowed for a high loop gain in order to provide better accuracy • C(s) is a proportional controller (i.e. C(s)=k) • P(s) is a first order filter with transport lag • •C(s)=k ; C(S) P(S) r e u y 4/23/2014 ( ) 1 Ts e P S Ts
- 15. 4/23/2014 ( ) ( ) 1 Ts Ts y s Ke r s Ts Ke ( )S A Delay Term has been appeared in characteristic equation So, What the scenario? In order to remedy this problem SMITH proposed a minor correction loop around the controller C(S) e u• P(S)(1-e^TS) Compensation loop
- 16. C(S) P(S) r e u y• P(S)(1-e^TS) 4/23/2014 C(S) P(S) r e u y
- 17. 4/23/2014 C(S) P(S) r e u y• P(S)(1-e^TS) The closed-loop system is stable for any ∆T if: and for a finite ∆T , if :
- 18. Network Infrastructure • Commonly Operating in a Isolated Network • Using Cisco Technologies 4/23/2014
- 19. Conclusion 4/23/2014 Velocity in master and slave (rad/s)
- 20. 4/23/2014 Position in master and slave (rad)
- 21. 4/23/2014 Force in Master/slave (N.m)
- 22. 4/23/2014 Position error in master and slave (rad.)
- 23. 4/23/2014 Velocity error in master and slave (rad./s)
- 24. References IEEE Journals: [1] G. Niemeyer and J.-J. E. Slotine. “Using Wave Variables for system Analysis and Robot Control”. Proc. 1997 IEEE. Int. Conf. Robotics and Automation, Albuquerque, New Mexico, pp 1619- 1625. [2] J. H. Park and H. Cho, “Sliding–Mode Controller for Bilateral Teleoperation with Varing Time Delay [3] Elhajj and N. Xi, “Real–Time Control of Internet Based Teleoperation with Force Reflection”, Proc. 2000 IEEE Int. Conf. Robotics and Automation, San Francisco CA, April 2000. 4/23/2014