Title :
Adaptive environmental control for optimal energy consumption in hospitals
Author_Institution :
Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
Abstract :
A second order dynamical model of the heating/cooling process in a hospital building is simulated. A fuzzy logic controller (FLC) based on if-then control rules is designed and the performance of the FLC is compared with that of commonly used on/off and PI/PID controllers. Both the FLC and the PI/PID controllers outperform the on/off controller in terms of accuracy, as well as energy consumption. However, the FLC is more robust than the PI/PID controllers in that the FLC is much less sensitive to changes in system parameters and consumes less energy
Keywords :
computerised control; cooling; digital simulation; environmental engineering; fuzzy control; heating; medical computing; FLC; PI/PID controllers; adaptive environmental control; energy consumption; fuzzy logic controller; heating/cooling process; hospital building; hospitals; if-then control rules; on/off controller; optimal energy consumption; second order dynamical model; Adaptive control; Buildings; Cooling; Energy consumption; Fuzzy logic; Heating; Hospitals; Optimal control; Programmable control; Three-term control;
Conference_Titel :
Computer-Based Medical Systems, 1995., Proceedings of the Eighth IEEE Symposium on
Conference_Location :
Lubbock, TX
Print_ISBN :
0-8186-7117-3
DOI :
10.1109/CBMS.1995.465434