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Title: Fuzzy modeling and control of HVAC systems – A review
Authors: Singh, Jagdev
Singh, Nirmal
Sharma, J K
Keywords: Fuzzy algorithm;Fuzzy logic;Fuzzy modeling;HVAC;Intelligent control
Issue Date: Jun-2006
Publisher: CSIR
IPC Code: G06N7/02
Abstract: Paper presents role of fuzzy modeling in heating, ventilating and air conditioning (HVAC) and control models. HVAC design professionals are required to evaluate numerous design alternatives and properly justify their final conceptual selection through modeling. This trend, coupled with the knowledge of experienced designers, increasing complexity of the systems, unwillingness to commit additional funds to the design phase itself, can only be satisfied by approaching the conceptual design process in more scientific, comprehensive and rational manner as against the current empirical and often adhoc approach. Fuzzy logic offers a promising solution to this conceptual design through fuzzy modeling. Numerous fuzzy logic studies are available in the non- mechanical engineering field and allied areas such as diagnostics, energy consumption analysis, maintenance, operation and its control. Relatively little exists in using fuzzy logic based systems for mechanical engineering and very little for HVAC conceptual design and control. This review appraises recent advances on the specific areas of conceptual design and control involving synthesis of HVAC components.
Page(s): 470-476
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.65(06) [June 2006]

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