Wireless Networked Control Systems with Neuron Adaptive Control and Novel Smith Predictor

Author

Du, Wencai ; Du, Feng

Author_Institution

Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China

fYear

2009

fDate

11-12 July 2009

Firstpage

644

Lastpage

647

Abstract

In order to overcome poor adaptability of conventional PID controller and effectively restrain the impact of network delays, a novel approach is proposed that new Smith predictor combined with neuron adaptive control for the wireless networked control systems (WNCS). Because new Smith predictor doesnpsilat include network delay model, therefore network delay is no need to be measured, identified or estimated on line. Based on IEEE 802.11 b/g (WLAN), the results of simulation show validity of the control scheme.

Keywords

adaptive control; control engineering computing; delays; neurocontrollers; predictive control; radio networks; three-term control; wireless channels; IEEE 802.11 b/g; PID controller; WLAN; network delay model; neuron adaptive control; smith predictor; wireless channel; wireless networked control system; Adaptive control; Automatic control; Control systems; Delay estimation; Networked control systems; Neurons; Predictive models; Three-term control; Wireless LAN; Wireless sensor networks; Smith predictor; Wireless networked control systems (WNCS); network delay; neuron adaptive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on

Conference_Location

Zhangjiajie

Print_ISBN

978-0-7695-3728-3

Type

conf

DOI

10.1109/CASE.2009.164

Filename

5194537