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Fuzzy logic controller design for staged heating and ventilating systems

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dc.contributor.author Chao, K en
dc.contributor.author Gates, RS en
dc.contributor.author Sigrimis, N en
dc.date.accessioned 2014-06-06T06:44:06Z
dc.date.available 2014-06-06T06:44:06Z
dc.date.issued 2000 en
dc.identifier.issn 0001-2351 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/1687
dc.subject broiler en
dc.subject energy conservation en
dc.subject environment control en
dc.subject greenhouse en
dc.subject HVAC en
dc.subject knowledge based systems engineering en
dc.subject simulation en
dc.subject.classification Agricultural Engineering en
dc.subject.other STEM ROSE PRODUCTION en
dc.subject.other ECONOMIC OPTIMIZATION en
dc.subject.other MODEL en
dc.title Fuzzy logic controller design for staged heating and ventilating systems en
heal.type journalArticle en
heal.language English en
heal.publicationDate 2000 en
heal.abstract Conventional stage controllers (CSC) for interior environment control of agricultural facilities are prevalent and well suited for slowly varying loads, smaller facilities with few stages of control, and in cases where "discrete proportional control" is deemed adequate. Ad hoc implementation schemes for using the same CSC over a range in size of building heating and ventilating systems, from one hearing and cooling stage to many are practiced in the industry. A fuzzy logic controller (FLC) was developed to satisfy a broad spectrum of installation sizes without any modification. Principles for designing an environment controller that can mimic CSC behavior over a broad range of system size were applied. By adjusting a single additional input this controller provides users with a trade-off between energy use and control precision. Simulations were conducted using the same FLC in a greenhouse and a broiler house; these two examples were selected for their considerable difference in magnitude of energy transfer and loads. Disturbances investigated included: variations in outside temperature, internal heat load (or solar load), and step changes in set point temperature. FLC system responses are compared with a representative CSC for stability, overshoot and mean square error from set point temperature. The FLC was able to keep the root-mean-square errors to 1.0 to 4.0 degreesC, depending on different energy use settings. The FLC provided useful improvements in performance over a CSC, and is readily implemented in modem electronic controllers with floating point arithmetic capability. en
heal.publisher AMER SOC AGRICULTURAL ENGINEERS en
heal.journalName TRANSACTIONS OF THE ASAE en
dc.identifier.issue 6 en
dc.identifier.volume 43 en
dc.identifier.isi ISI:000166972800068 en
dc.identifier.spage 1885 en
dc.identifier.epage 1894 en


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