Title :
An approach to supervisory control of multi-stage processes via fuzzy logic
Author_Institution :
Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
In this paper an approach to supervisory control of multi-stage industrial control systems is presented. This approach is based on the notion of an internal reference model, and further makes use of a fuzzy multi-objective optimization strategy to compute the control action via an iterative approach. This framework has been shown to be effective in the operation of an energy management and control system (EMCS) used in climate control and may offer similar advantages in other situations as well
Keywords :
environmental engineering; fuzzy logic; intelligent control; process computer control; process control; climate control; control action; energy management and control system; fuzzy logic; fuzzy multi-objective optimization; internal reference model; iterative approach; multi-stage industrial control systems; supervisory control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy set theory; Industrial control; Iterative methods; Mechanical engineering; Petroleum; Refining; Supervisory control;
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
DOI :
10.1109/CDC.1993.325388
