Fuzzy Modeling Vapor Pressure Deficit to Monitoring Microclimate in Greenhouses**This work was supported in part by the CONACYT-México, by grant program: sabbatical stay abroad I0010-2014-02, under grant No. 246344
| Autor: | Julio C. Ramos-Fernández, Nathalie Pessel, Jean-François Balmat, Marco Antonio Márquez-Vera, Eduardo Steed Espinoza-Quesada, Frédéric Lafont |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
Measure (data warehouse) Fuzzy rule business.industry Vapour Pressure Deficit Microclimate Psychrometrics Control engineering 04 agricultural and veterinary sciences 02 engineering and technology Fuzzy logic Control and Systems Engineering 040103 agronomy & agriculture 0202 electrical engineering electronic engineering information engineering 0401 agriculture forestry and fisheries 020201 artificial intelligence & image processing Instrumentation (computer programming) business Interpolation |
| Zdroj: | IFAC-PapersOnLine. 49:371-374 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2016.10.068 |
| Popis: | Instrumentation to measure microclimate in greenhouses is a task to developing before starting the identification and control moisture and temperature in greenhouses, a variable which best describe the microclimate and helps prevent fungus and disease risks, is the vapor pressure deficit ( VPD ), it is measured indirectly by means of two inputs: temperature and humidity, by means the psychrometric chart, and another way is using interpolation models. This paper shows methodology to measure VPD , by using fuzzy modeling type Takagi-Sugeno (T-S). Fuzzy modeling is based on expert and human knowledge, additionally this is combined with mathematical techniques to identify parameters of the antecedents and consequents of IF-THEN fuzzy rules, each IF-THEN fuzzy rule defines a submodel or region of interpolation. In this work, expert knowledge is the information described in psychrometric chart. Modeling learning was performed using air temperature and relative humidity, a set of 8 fuzzy rules was proposed to interpolate the VPD . The results of the fuzzy model are illustrated using measurements of an experimental greenhouse, and was contrasted with a model well known in the literature. The algorithm of fuzzy modelling VPD , was codified in two platform application real time: C to microcontroller and LabVIEW TM , thus it is possible measuring the instantaneous VPD . |
| Databáze: | OpenAIRE |
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