Advanced control strategies for HVAC&R systems—An overview: Part II: Soft and fusion control

Journal Article · Fri Apr 01 00:00:00 EDT 2011 · HVAC&R Research

DOI:https://doi.org/10.1080/10789669.2011.555650· OSTI ID:1016210

Naidu, D Subbaram; Rieger, Craig G

A chronological overview of the advanced control strategies for HVAC&R is presented. 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 the fusion or hybrid of hard and soft control techniques. Part I focused on hardcontrol strategies; Part II focuses on soft and fusion control and some future directions in HVA&R research. This overview is not intended to be an exhaustive survey on this topic, and any omissions of other works is purely unintentional.

• Research Organization: Idaho National Lab. (INL), Idaho Falls, ID (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: DE-AC07-05ID14517
• OSTI ID: 1016210
• Report Number(s): INL/JOU-11-22420; TRN: US201112%%266
• Journal Information: HVAC&R Research, Vol. 17, Issue 2; ISSN 1078--9669
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ALGORITHMS
FUZZY LOGIC
GENETICS
NEURAL NETWORKS