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
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;
Conference_Titel :
System Theory (SSST), 2012 44th Southeastern Symposium on
Conference_Location :
Jacksonville, FL
Print_ISBN :
978-1-4577-1492-4
DOI :
10.1109/SSST.2012.6195132