Improving the performance of industrial mixers that are used in agricultural technologies via chaotic systems and artificial intelligence techniques
نویسندگان
چکیده
In this study, it is aimed to show how important apply chaotic systems and Fuzzy Logic artificial intelligence technique increase the production performance of industrial mixers used in agriculture terms criteria such as product quality, homogeneity, time, energy saving by using. A PLC (Programmable Controller) controlled mixer whose all functions can be HMI (Human Machine Interface) operator panel designed manufactured for experimental studies. Water, leonardite potassium hydroxide (KOH) mixture components are mixed a newly three different ways using traditional, chaos, techniques order obtain liquid humic acid which plant nutrition soil modulator agriculture. For mixing option, with dynamic features chosen from literature. After converting time series values frequency program written on device, provided rotate at variable speeds according motor connected inverter. option. membership rules established accordance results experiments data obtained experts production. Mixing carried out an interface that makes choice rotation speed range. By traditional methods, comparison done solute ratio, pH total consumption. When developed operate chaos observed more efficient savings compared methods.
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ژورنال
عنوان ژورنال: Turkish Journal of Electrical Engineering and Computer Sciences
سال: 2022
ISSN: ['1300-0632', '1303-6203']
DOI: https://doi.org/10.55730/1300-0632.3947