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

D. Subbaram Naidu, Craig G. Rieger

Research output: Contribution to journalReview articlepeer-review

31 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)144-158
Number of pages15
JournalHVAC and R Research
Volume17
Issue number2
DOIs
StatePublished - Apr 2011
Externally publishedYes

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