ShareSummary
Presents an adaptive learning algorithm based on genetic algorithms for automatic tuning of proportional, integral and derivative (PID) controllers in HVAC systems to achieve optimal performance. The simulation results show that the genetic algorithm-based optimisation procedures as implemented in this study are useful for automatic tuning of PID controllers for HVAC systems, yielding minimum overshoot and minimum settling time.
Details
- Original title: Using genetic algorithms to optimize controller parameters for HVAC systems.
- Record ID : 1999-1128
- Languages: English
- Source: Energy Build. - vol. 26 - n. 3
- Publication date: 1997/10
Links
See other articles in this issue (3)
See the source
Indexing
- Themes: Other air-conditioning equipment
- Keywords: Genetics; Control (automatic); Simulation; Parameter; Air conditioning
-
Self-adaptive fuzzy control of air conditioning...
- Author(s) : WANG F. H., YU B. F., WANG Z. G., et al.
- Date : 1999/09/19
- Languages : English
- Formats : PDF
View record
-
Physical model of an air-conditioned space for ...
- Author(s) : KASAHARA M., KUZUU Y., MATSUBA T., et al.
- Date : 2000/06/24
- Languages : English
- Source: ASHRAE Transactions. 2000 ASHRAE Annual Meeting, Minneapolis, Minnesota + CD-ROM.
View record
-
Modeling and control for air-conditioning syste...
- Author(s) : KIMBARA A., KASAHARA M., MATSUBA T., SHIBATA N., HASHIMOTO Y., KAMIMURA K., KUROSU S.
- Date : 1996/07
- Languages : Japanese
- Source: Transaction of the Society of Heating, Air-conditioning and Sanitary Engineers of Japan - n. 62
View record
-
CO2-based demand-controlled ventilation with AS...
- Author(s) : MURPHY J., AP L., BRADLEY B.
- Date : 2008/09
- Languages : English
- Source: HPAC Engineering - vol. 80 - n. 9
View record
-
USE OF A GENERAL CONTROL SIMULATION PROGRAM.
- Author(s) : ZHANG X., WARREN M. L.
- Date : 1988
- Languages : English
View record