DocumentCode :
234242
Title :
Application of hierarchical control in Supervisory Predictive Control
Author :
Li Suzhen ; Liu Xiangjie ; Yuan Gang
Author_Institution :
Dept. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
1944
Lastpage :
1948
Abstract :
In this paper, an integrated intelligent controller is proposed with hierarchical control structure, the principle of hierarchical control structure was analyzed, and a method is proposed to coordinate linear Supervisory Predictive Control (SPC). To achieve a better performance in controlling large-scale systems, a stochastic probability density functions (PDFs) coordination rule is applied in coordination level, a set of coordinating signals are generated using the coordinator and sent to the next level. As a study case, an integrated plant which consists of two subunits is used to demonstrate the feasibility and efficiency of this framework. Experimental results show that the proposed method can guarantee local optimal solution for dominant controlled variables approximating their global optimal solution among subunits on closed-loop stability condition.
Keywords :
closed loop systems; hierarchical systems; intelligent control; large-scale systems; predictive control; probability; stability; stochastic systems; closed loop stability condition; coordination level; dominant controlled variables; hierarchical control structure; integrated intelligent controller; integrated plant; large-scale system; probability density function; stochastic PDF coordination rule; supervisory predictive control; Control systems; Linear programming; Load modeling; Optimization; Predictive control; Predictive models; coordination level; hierarchical control structure; supervisory predictive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896927
Filename :
6896927
Link To Document :
بازگشت