Comparison of the performance of fuzzy controllers for the management of the indoor environment

Abstract Fuzzy logic control applied in Indoor Environment Management Systems provides a significant advantage in terms of energy conservation and users’ indoor comfort requirements satisfaction compared with the classical control systems. The aim of the present paper is to compare the performance of five fuzzy controllers (fuzzy P, fuzzy PID, fuzzy PI, fuzzy PD and adaptive fuzzy PD) developed in the framework of the BUILTECH (JOE3-CT97-0044) project which is in part funded by the European Commission JOULE Programme. The performance criteria are the response performance and the energy consumption.

[1]  P. O. Fanger,et al.  Thermal comfort: analysis and applications in environmental engineering, , 1972 .

[2]  Guanrong Chen,et al.  Design and analysis of a fuzzy proportional-integral-derivative controller , 1996, Fuzzy Sets Syst..

[3]  Stuart Batterman,et al.  TVOC and CO2 Concentrations as Indicators in Indoor Air Quality Studies , 1995 .

[4]  Anastasios I. Dounis,et al.  Indoor air-quality control by a fuzzy-reasoning machine in naturally ventilated buildings , 1996 .

[5]  D. Kolokotsa,et al.  Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal–visual comfort and indoor air quality satisfaction , 2001 .

[6]  Rolf Isermann Digital Control Systems , 1981 .

[7]  Rolf Isermann Fundamentals, deterministic control , 1989 .

[8]  Anastasios I. Dounis,et al.  Comparison of Conventional and Fuzzy Control of Indoor Air Quality in Buildings , 1996, J. Intell. Fuzzy Syst..

[9]  Antoine Guillemin,et al.  An innovative lighting controller integrated in a self-adaptive building control system , 2001 .

[10]  Anastasios I. Dounis,et al.  Design of a fuzzy set environment comfort system , 1995 .

[11]  Joseph Virgone,et al.  Thermal control of a discontinuously occupied building using a classical and a fuzzy logic approach , 1997 .

[12]  Anastasios I. Dounis,et al.  Building visual comfort control with fuzzy reasoning , 1993 .

[13]  Διονυσία Κολοκοτσά Design and implementation of an integrated intelligent building indoor environment management system using fuzzy logic, advanced decision support techniques, local operating network capabilities and smart card technology , 2001 .

[14]  Alpin Köknel Yener,et al.  A method of obtaining visual comfort using fixed shading devices in rooms , 1998 .

[15]  Denia Kolokotsa,et al.  LOCAL OPERATING NETWORKS TECHNOLOGY AIMING TO IMPROVE BUILDING ENERGY MANAGEMENT SYSTEM PERFORMANCE SATISFYING THE USERS PREFERENCES , 2001 .