Title :
Hybrid intelligent control strategy. Supervising a DCS-controlled batch process
Author :
Li, Han-Xiong ; Guan, Shouping
Author_Institution :
Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, China
fDate :
6/1/2001 12:00:00 AM
Abstract :
In industrial control, it frequently happens that, while the low-level controller performs very well, high-level supervision is required to maintain good overall performance that is usually beyond the capability of direct machine control. A hybrid control methodology combining conventional and intelligent techniques has been introduced to replace human supervision for a DCS-controlled laminar cooling process. The industrial experiments show the improved performance of the proposed hybrid control model and confirm its validity in a real manufacturing environment. The results can be extended to a wide range of processes with similar features. The methodology is superior in terms of high performance, reliability, simplicity and ease of construction.
Keywords :
batch processing (industrial); cooling; distributed control; intelligent control; metallurgical industries; production control; DCS; batch process; direct machine control; distributed control; high-level supervision; hybrid intelligent control strategy; industrial control; laminar cooling process; manufacturing environment; reliability; supervisory control; Construction industry; Cooling; Humans; Industrial control; Intelligent control; Machine control; Machine intelligence; Manufacturing industries; Temperature control; Virtual manufacturing;
Journal_Title :
Control Systems, IEEE