Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems—An overview: Part I: Hard control
Abstract
A chronological overview of the advanced control strategies for heating, ventilation, air-conditioning, and refrigeration (HVAC&R) is presented in this article. The overview focuses on hard-computing or control techniques, such as proportional-integral-derivative, optimal, nonlinear, adaptive, and robust; soft-computing or control techniques, such as neural networks, fuzzy logic, genetic algorithms; and on the fusion or hybrid of hard- and soft-control techniques. Thus, it is to be noted that the terminology “hard” and “soft” computing/control has nothing to do with the “hardware” and “software” that is being generally used. Part I of a two-part series focuses on hard-control strategies, and Part II focuses on softand fusion-control in addition to some future directions in HVAC&R research. This overview is not intended to be an exhaustive survey on this topic, and any omission of other works is purely unintentional.
- Authors:
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1016209
- Report Number(s):
- INL/JOU-11-22419
Journal ID: ISSN 1078--9669; TRN: US201112%%265
- DOE Contract Number:
- DE-AC07-05ID14517
- Resource Type:
- Journal Article
- Journal Name:
- HVAC&R Research
- Additional Journal Information:
- Journal Volume: 17; Journal Issue: 1; Journal ID: ISSN 1078--9669
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; AIR CONDITIONING; ALGORITHMS; FUZZY LOGIC; GENETICS; HEATING; NEURAL NETWORKS; REFRIGERATION; VENTILATION
Citation Formats
Naidu, D Subbaram, and Rieger, Craig G. Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems—An overview: Part I: Hard control. United States: N. p., 2011.
Web. doi:10.1080/10789669.2011.540942.
Naidu, D Subbaram, & Rieger, Craig G. Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems—An overview: Part I: Hard control. United States. https://doi.org/10.1080/10789669.2011.540942
Naidu, D Subbaram, and Rieger, Craig G. 2011.
"Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems—An overview: Part I: Hard control". United States. https://doi.org/10.1080/10789669.2011.540942.
@article{osti_1016209,
title = {Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems—An overview: Part I: Hard control},
author = {Naidu, D Subbaram and Rieger, Craig G},
abstractNote = {A chronological overview of the advanced control strategies for heating, ventilation, air-conditioning, and refrigeration (HVAC&R) is presented in this article. The overview focuses on hard-computing or control techniques, such as proportional-integral-derivative, optimal, nonlinear, adaptive, and robust; soft-computing or control techniques, such as neural networks, fuzzy logic, genetic algorithms; and on the fusion or hybrid of hard- and soft-control techniques. Thus, it is to be noted that the terminology “hard” and “soft” computing/control has nothing to do with the “hardware” and “software” that is being generally used. Part I of a two-part series focuses on hard-control strategies, and Part II focuses on softand fusion-control in addition to some future directions in HVAC&R research. This overview is not intended to be an exhaustive survey on this topic, and any omission of other works is purely unintentional.},
doi = {10.1080/10789669.2011.540942},
url = {https://www.osti.gov/biblio/1016209},
journal = {HVAC&R Research},
issn = {1078--9669},
number = 1,
volume = 17,
place = {United States},
year = {Tue Feb 01 00:00:00 EST 2011},
month = {Tue Feb 01 00:00:00 EST 2011}
}