DocumentCode :
476217
Title :
Research of PFC algorithm based on grey system model in networked control system
Author :
Zhou, Li-hui ; Wang, Tian-kun ; Han, Pu ; Xu, Da-ping
Author_Institution :
Sch. of Control Sci. & Eng., North China Electr. Power Univ., Baoding
Volume :
5
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
2663
Lastpage :
2667
Abstract :
The networked control system with stochastic time delays and data drop can be regarded as the grey system which involves stochastic interferences and stochastic variables.The generalized controlled object is modeled as a grey system model and it is proposed in the passage an algorithm of predictive functional control based on grey system model. The formula of how to calculate the output of predictive model and the equation of control law is deduced; A NCS simulation platform is built with event-clock-driven controller nodes and clock-driven sensor nodes and actuator nodes. The simulation results show that the algorithm has a better anti-interference ability and quicker dynamic response and it is easy to be calculated online with good control capability.
Keywords :
delays; grey systems; predictive control; PFC algorithm; actuator nodes; anti-interference ability; clock-driven sensor nodes; data drop; event-clock-driven controller nodes; grey system model; networked control system; predictive functional control; stochastic interferences; stochastic time delays; stochastic variables.The; Actuators; Clocks; Delay effects; Discrete event simulation; Equations; Interference; Networked control systems; Prediction algorithms; Predictive models; Stochastic systems; Grey System Model; Networked Control System(NCS); Predictive Functional Control (PFC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620858
Filename :
4620858
Link To Document :
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