DocumentCode
2495913
Title
Hybrid inference petri net-based expert coordinated regional control system for chemical process
Author
Xin, Xiaole ; Li, Hongguang
Author_Institution
Sch. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing
fYear
2008
fDate
25-27 June 2008
Firstpage
7167
Lastpage
7171
Abstract
A kind of hybrid inference Petri net-based (HIPN) expert coordinated regional control system (ECRCS) is proposed. With HIPN features of visualization modeling, conflict resolving and parallel inferring, ECRCS has effectively enhanced the system-analyzing and decision-making abilities of expert control systems, which are suitable to control the non-linear, time-variation and uncertainty objects especially existed in chemical industries. The system is made up of lower control level and upper coordination level, which presents a coordinated and hierarchical control framework. The techniques and solutions provided in this study are used to deal with the region control problems of an industrial distillation plant. Detail design procedures are proposed and some simulations show that this methodology is effective.
Keywords
Petri nets; chemical industry; expert systems; inference mechanisms; process control; chemical process; conflict resolving; expert coordinated regional control system; hybrid inference Petri net; parallel inferring; visualization modeling; Chemical industry; Chemical processes; Control system synthesis; Control systems; Decision making; Electrical equipment industry; Industrial control; Nonlinear control systems; Uncertainty; Visualization; Coordinated Regional Control; DMF Recovery; Expert Control System; Hybrid Inference Petri Net;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594031
Filename
4594031
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