{"title":"Design of Automatic Dough Feeder Control System on Modified Cassava Flour-based Noodle Extrusion using Fuzzy Logic Controller","authors":"E. Pramono, U. Hanifah","doi":"10.5220/0009981903120316","DOIUrl":null,"url":null,"abstract":": Production of modified cassava flour-based noodle has been done by many researchers using the extrusion process. An extruder, an extrusion-based machine had been developed by Research Center for Appropriate Technology to produce modified cassava flour-based noodle. The unstable feeding rate of the dough caused the motor had fluctuation load during driving the main screw of the extruder. The main impacts were the throughput of the noodle had become unstable too, the quality of the noodle also have an effect regarding the density of the noodle, and the worst case was the higher feeding rate of the dough means heavier load for the motor and can lead to jam of the extrusion process and damage of the main motor. In this paper, an automatic dough feeder has been designed to control the feeding rate of the dough to the extruder using Fuzzy Logic Controller (FLC). The inputs of the FLC were error and delta error of the main motor current and the output of the controller was the rotational speed of the dough feeder motor. The design and simulation were done using Matlab toolbox.","PeriodicalId":412618,"journal":{"name":"Proceedings of the 16th ASEAN Food Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th ASEAN Food Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0009981903120316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: Production of modified cassava flour-based noodle has been done by many researchers using the extrusion process. An extruder, an extrusion-based machine had been developed by Research Center for Appropriate Technology to produce modified cassava flour-based noodle. The unstable feeding rate of the dough caused the motor had fluctuation load during driving the main screw of the extruder. The main impacts were the throughput of the noodle had become unstable too, the quality of the noodle also have an effect regarding the density of the noodle, and the worst case was the higher feeding rate of the dough means heavier load for the motor and can lead to jam of the extrusion process and damage of the main motor. In this paper, an automatic dough feeder has been designed to control the feeding rate of the dough to the extruder using Fuzzy Logic Controller (FLC). The inputs of the FLC were error and delta error of the main motor current and the output of the controller was the rotational speed of the dough feeder motor. The design and simulation were done using Matlab toolbox.