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

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, fu...

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Published inHVAC&R research Vol. 17; no. 2; pp. 144 - 158
Main Authors Naidu, D. Subbaram, Rieger, Craig G.
Format Journal Article
LanguageEnglish
Published Atlanta Taylor & Francis Group 08.04.2011
Taylor & Francis Ltd
Subjects
ALGORITHMS
FUZZY LOGIC
GENERAL AND MISCELLANEOUS
Genetic algorithms
GENETICS
Hybrid control systems
NEURAL NETWORKS
Robust control
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Summary: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 hard-control 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.
Bibliography:USDOE
DE-AC07-05ID14517
INL/JOU-11-22420
ISSN:1078-9669
2374-4731
1938-5587
2374-474X
DOI:10.1080/10789669.2011.555650