DocumentCode
2846818
Title
Wireless networked control systems with GPC and new Smith predictor
Author
Du, Feng ; Du, Wencai ; Du, Yukuan ; Chen, Baodan
Author_Institution
Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
fYear
2010
fDate
26-28 May 2010
Firstpage
1920
Lastpage
1924
Abstract
Wireless network delay is the main factor that deteriorates the performance of the wireless networked control systems (WNCS). In order to effectively restrain the impact of network delay, a new approach is proposed that novel Smith predictor combined with generalized predictive control (GPC) for the WNCS. Because novel Smith predictor hides predictor models of the network delays into real network data transmission processes, further the network delay no longer need to be measured, identified or estimated on-line. Simultaneously this new Smith predictor doesn´t include the prediction model of the controlled plant, thus it doesn´t need to know the exact mathematical model of the controlled plant. It is applicable to some occasions that network delay is random, time-variant or uncertain, and there are some data dropouts in closed loop. Based on IEEE 802.11b/g (WLAN), the results of simulation show that this approach is effective.
Keywords
closed loop systems; data communication; delays; mathematical analysis; predictive control; radio networks; uncertain systems; wireless LAN; GPC; IEEE 802.11b-g; Smith predictor; WLAN; closed loop; data transmission processes; generalized predictive control; mathematical model; time-variance; uncertain systems; wireless network delay; wireless networked control systems; Control systems; Delay effects; Delay estimation; Delay systems; Mathematical model; Networked control systems; Predictive control; Predictive models; Stability; Wireless networks; Generalized predictive control; Network delay; Smith predictor; Wireless networked control systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498764
Filename
5498764
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