DocumentCode :
582937
Title :
Observer-based control predictor for networked control system with uncertain time delays and packet dropouts
Author :
Wu, Ying ; Yuan, Zhaohui ; Wu, Yanpeng
Author_Institution :
Dept. of Autom., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
233
Lastpage :
238
Abstract :
Networked control system improves system flexibility, control efficiency and reduces component installation and maintenance cost, however, network-induced time delays and packet dropouts may degrade or even destabilize the system. This paper proposes a novel predictive observer based control strategy to solve this problem. Random time delays and packet dropouts are considered in a more natural way without any limitations in both backward and forward channels. A mixed event-time driven predictive controller is designed to effectively compensate the long delays and lost packets. Stability of newly developed NCS model is analyzed. Simulation results show the effectiveness of the proposed strategy and guarantee the performance of the closed-loop system.
Keywords :
closed loop systems; compensation; control system synthesis; delay systems; networked control systems; observers; predictive control; random processes; stability; uncertain systems; NCS model; backward channels; closed loop system; component installation reduction; control efficiency; forward channels; long delay compensation; maintenance cost reduction; mixed event-time driven predictive controller design; network-induced time delays; networked control system; observer-based control predictor; packet dropouts; packet loss compensation; predictive observer; random time delays; system destabilization; system flexibility improvement; uncertain time delays; Actuators; Analytical models; Delay; Delay effects; Observers; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-2144-1
Type :
conf
DOI :
10.1109/ICICIP.2012.6391528
Filename :
6391528
Link To Document :
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