Title :
Supervisory control of an energy management control system via fuzzy logic
Author :
Belur, Raghu ; Langari, Reza
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 :
fuzzy control; fuzzy logic; industrial control; inference mechanisms; intelligent control; iterative methods; climate control; energy management control system; fuzzy logic; fuzzy multiobjective optimization; internal reference model; iterative approach; multistage industrial control systems; supervisory control; Control systems; Energy management; Fuzzy control; Fuzzy logic; Fuzzy set theory; Industrial control; Iterative methods; Mechanical engineering; Refining; Supervisory control;
Conference_Titel :
Industrial Fuzzy Control and Intelligent Systems, 1993., IFIS '93., Third International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-1485-9
DOI :
10.1109/IFIS.1993.324202
