Summary
It is very difficult to obtain a good control effect for HVAC systems that possess multivariables, long delay times, and nonlinear characteristics by traditional control methods. Fuzzy control is already an efficient way to implement the control process in HVAC. Fuzzy logic reasoning is a basis of fuzzy control, and the method of the compositional rule of inference (CRI) is used widely. The paper puts forward a new concise method of fuzzy logic reasoning (the functioning-fuzzy-subset inference, FFSI) and analyses and compares the performance of the FFSI with CRI for the nonsingleton fuzzy logic control system with discrete domain, triangular membership function, approximate fuzzifier, Mamdani style fuzzy control rules, and maximum-minimum inference. Then, the article discusses the control effects of the FFSI, CRI, and PID by simulation for a controlled system with one order inertia and delay times, which is very general in HVAC. In order to utilize the FFSI in HVAC, a single-chip microcomputer, which will be an important device to carry out the fuzzy control experiment in HVAC, has been developed and introduced in brief.
Details
- Original title: Study on fuzzy control for HVAC systems. 1. FFSI and development of single-chip fuzzy controller.
- Record ID : 2005-1411
- Languages: English
- Source: ASHRAE Transactions. 2003 Winter Meeting, Chicago, Illinois. Volume 109, part 1 + CD-ROM.
- Publication date: 2003
Links
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Indexing
- Themes: Other air-conditioning equipment
- Keywords: Fuzzy logic; Ventilation; Design; Control (automatic); Research; Air conditioning
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Study on fuzzy control for HVAC systems. 2. Exp...
- Author(s) : ZHANG J., OU J., SUN D.
- Date : 2003
- Languages : English
- Source: ASHRAE Transactions. 2003 Winter Meeting, Chicago, Illinois. Volume 109, part 1 + CD-ROM.
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The study on scaling factors in fuzzy controlle...
- Author(s) : WANG F. H., YU B. F., WANG Z. G., et al.
- Date : 1999/09/19
- Languages : English
- Formats : PDF
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Self-adaptive fuzzy control of air conditioning...
- Author(s) : WANG F. H., YU B. F., WANG Z. G., et al.
- Date : 1999/09/19
- Languages : English
- Formats : PDF
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Application prospect analysis of fuzzy control ...
- Author(s) : ZHANG J. L., OU J. P., SUN D. X.
- Date : 1997/09/09
- Languages : English
- Source: International Symposium on Air Conditioning in High Rise Buildings - 1997
- Formats : PDF
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The use of fuzzy controls in air conditioning.
- Author(s) : BROUWER A. J., PEITSMAN H. C.
- Date : 1994/01
- Languages : Dutch
- Source: Klimaatbeheersing - vol. 23 - n. 1
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