Open AccessImproved fuzzy logic controller for cane juice extraction
Author(s) -
A Vasanthi,
Yogesh Misra,
P. Venkata Krishna
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2070/1/012132
Subject(s) - cane , fuzzy logic , sugar cane , extractor , computer science , fuzzy control system , controller (irrigation) , channel (broadcasting) , matlab , control theory (sociology) , agricultural engineering , sugar , artificial intelligence , control (management) , engineering , process engineering , agronomy , operating system , telecommunications , biochemistry , chemistry , biology
In current days Fuzzy logic plays auspicious role to provide so many choices for many applications which are system control. Fuzzy logic having no. of practical methodologies in soft computing. Sugar making industries are one of the applications using fuzzy logic controller. sugarcane juice extraction is an industry which is highly seasonable. If the supply of sugar cane is irregular then that reduces the efficiency of extractor from cane to mass producing sugar. So, it is necessary to improve the efficiency of extractor, which gives juice from cane billets. For that we must keep up the Donnelly height (or) level of cane is closed to 90cm. Where a methodology introduced to improve the three inputs controller with fuzzy is used to keep up the cane volume (or) level of Donnelly channel. For that cane level must and should always at 90cm. To limited that level (or) height of cane in chute (or) channel was developed by using of tool box in fuzzy logic designer, MATLAB software.