Improved climate control for potato stores by fuzzy controllers

Klaus Gottschalk, László Nagy, István Farkas

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

The main tasks for climate controllers in potato bulk stores are to keep the storage climate in an appropriate condition for quality conservation. To avoid extra energy costs by using cooling systems the internal climate of potato bulk stores is controlled with outdoor air. A conventionally designed controller is difficult to adapt for an optimal climate control to reduce quality loss. However, a controller designed with fuzzy logic is found as advantageous for adapting control parameters to improve the control process. A test stand is built to ventilate and to control two samples of potato bulks simultaneously with the same outdoor weather conditions for comparisons. Several experiments were carried out to compare climate controllers with different control algorithms, i.e. conventional to a different conventional and conventional to fuzzy.

Original languageEnglish
Pages (from-to)127-140
Number of pages14
JournalComputers and Electronics in Agriculture
Volume40
Issue number1-3
DOIs
Publication statusPublished - Oct 1 2003

Keywords

  • Fuzzy control
  • Genetic algorithm
  • Parameter adapting
  • Potato store

ASJC Scopus subject areas

  • Forestry
  • Agronomy and Crop Science
  • Computer Science Applications
  • Horticulture

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