DocumentCode
2006848
Title
Multi-sensors and multi-actuators based information scheduling for gas turbine networked control systems
Author
Gao, Jianhua ; Liu, Yongbao ; Huang, Yingyun
Author_Institution
Coll. of Naval Archit. & Power, Naval Univ. of Eng., Wuhan, China
fYear
2012
fDate
11-13 March 2012
Firstpage
243
Lastpage
247
Abstract
In this paper, we mainly investigate algorithms of networked control systems with respect to a certain type of three shaft marine gas turbine. Instead of evaluating these algorithms on the gas turbine in real-life, we first construct a platform based the Truetime toolbox under the MATLAB environment and then run simulations on this platform using two mainstream algorithms, i.e. the Earliest Deadline First (EDF) algorithm, the Rate Monotonic (RM) algorithm. Our simulation results support that the EDF scheduling algorithm is able to allocate network resources more evenly than the RM algorithm, and thus it is a better candidate of the real-time scheduling algorithm for the researched gas turbine networked control system.
Keywords
actuators; control engineering computing; gas turbines; marine control; mechanical engineering computing; networked control systems; real-time systems; resource allocation; sensor fusion; shafts; EDF scheduling algorithm; MATLAB environment; RM algorithm; Truetime toolbox; earliest deadline first; gas turbine networked control system; information scheduling; multiactuators; multisensors; network resource allocation; rate monotonic; real-time scheduling algorithm; shaft marine gas turbine; Mathematical model; Networked control systems; Scheduling; Scheduling algorithms; Sensors; Turbines; Gas turbine; TrueTime; information scheduling; networked control systems;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory (SSST), 2012 44th Southeastern Symposium on
Conference_Location
Jacksonville, FL
ISSN
0094-2898
Print_ISBN
978-1-4577-1492-4
Type
conf
DOI
10.1109/SSST.2012.6195132
Filename
6195132
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