DocumentCode
2958737
Title
GPC scheme for the Internet-based teleoperation
Author
Dan Chen ; Ning Xi ; Yuechao Wang ; Hongyi Li ; Xusheng Tang
Author_Institution
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang
fYear
2008
fDate
1-8 June 2008
Firstpage
1985
Lastpage
1990
Abstract
The variable time delay and the packet loss degrade the performance of Internet based teleoperation system seriously, even make the system unstable. To overcome the trouble, an idea that using CARIMA model of the linearized slave robot to design a controller based on the Generalized Predictive Control (GPC) method is proposed in this paper. We place the GPC controller at the remote site. First of all, The CARIMA model of the linearized slave robot is derived. Secondly, a GPC controller is designed at slave site to generate the redundant control information to diminish the influence of the packet loss and the large time delay in the internet to the system. Moreover, in order to solve the problem caused by the variable time delay, the reference information signed with time stamp is used and feedback to the operator, so the operator can predict the next round trip time delay(RTT) according to the preceding RTT we got. Finally, stability condition is achieved. Simulation results show that these strategies can dynamically compensate for the variable time delay and reduce the performance degradation induced by packet loss.
Keywords
Internet; control engineering computing; control system synthesis; delays; predictive control; stability; telerobotics; CARIMA model; GPC scheme; Internet based teleoperation system; Internet-based teleoperation; controller design; generalized predictive control; linearized slave robot; next round trip time delay; packet loss degradation; reference information; stability condition; time stamp; variable time delay; Control systems; Degradation; Delay effects; Feedback; Internet; Performance loss; Predictive control; Predictive models; Robots; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location
Hong Kong
ISSN
1098-7576
Print_ISBN
978-1-4244-1820-6
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2008.4634070
Filename
4634070
Link To Document