Title
Signal-to-noise ratio for irrigation canal networked control system (MSC'2015)
Abstract
In this paper, we consider the problem of progressive increase in the channel Signal-to-Noise ratio (SNR) requirements due to the control chain as seen in some configurations of irrigation canal control. At first, the admissible SNRs required for system constraints will be discussed and then the limitation will be set out. We demonstrate that this SNR limitation can be reduced by the design of control system with feed-forward control added to feedback loop in downstream and upstream configurations. As a result, the SNR factor can be considered as one of criterion when choosing different locations of controllers compared to those of feedback sensors and controlled actuators, towards satisfying communication constraints. That makes the analysis and design of a networked control systems easier in terms of communication reliability and efficient bandwidth allocation. The practitioners will find it helpful about the best configuration for the controller position and related communication channels in a irrigation canal setting, as to reduce the SNR requirements whilst satisfying the original control performance requirements. Simulations are presented for downstream and upstream control configurations using a standard feedback control loop first, and then a feedback control loop with added networked feed-forward control for disturbance attenuation.
Year
Venue
Field
2015
Computability and Complexity in Analysis
Control theory,Networked control system,Computer science,Control theory,Signal-to-noise ratio,Communication channel,Control engineering,Automatic control,Feedback loop,Control system,Feed forward
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
10
5
Name
Order
Citations
PageRank
Lai Nguyen111.03
Alejandro J. Rojas210213.33
Denis Genon-Catalot383.73
André Lagrèze422.09
L. Lefévre56218.51