Title :
Hierarchical process control by combining SPC and soft computing methods
Author :
Kim, Wonoh ; Vachtsevanos, George
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Statistical process control (SPC) provides methods of monitoring a system to improve the quality of the product. However, using SPC alone has limitations since it does not control a system but rather monitors it to remove the root causes. SPC and feedback control are combined in a hierarchical structure to monitor a system and use the information to compensate for deviations of the output of a system. Most industrial systems are composed of several constituent subsystems that are coupled. Large-scale system (LSS) theory and hierarchical control structure are used to not only optimize the recipe for the individual subsystems but also to optimize for the entire system. The proposed algorithm will be implemented in the controlled atmosphere brazing (CAB) furnace to braze aluminum heat exchange components
Keywords :
aluminium; brazing; computerised monitoring; electric furnaces; feedback; fuzzy control; quality control; statistical process control; CAB furnace; LSS theory; SPC; aluminum heat exchange components; constituent subsystems; controlled atmosphere brazing furnace; feedback control; hierarchical control structure; hierarchical process control; hierarchical structure; industrial systems; large-scale system theory; soft computing methods; statistical process control; system monitoring; Aluminum; Atmosphere; Control systems; Electrical equipment industry; Feedback control; Furnaces; Large-scale systems; Monitoring; Process control; Temperature control;
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
DOI :
10.1109/NAFIPS.2000.877479
