{"title":"Fuzzy controller in the cargo control wagons dump","authors":"J. P. Moura, J. V. F. Neto","doi":"10.1109/EAIS.2016.7502365","DOIUrl":null,"url":null,"abstract":"The control level in bins and effective rate of discharge is very complex as there are many dynamic variables such as time of discharge cycle, speed of feeders, physical characteristics and chemical composition of the ore. This work addresses two variables to apply fuzzy logic, which are: The level of material in the car dumper silos; The effective rate of discharge. The ideal discharge occurs when the desired yield is achieved and when the level of material in the varies within the range specified by the supplier. In this work we use the speed of rotation of feeder conveyor to control by the application of fuzzy logic. If the speed of feeder conveyor is low, the level increases in the silos and the effective rate decreases and whether the speed of feeder conveyor is high, the level decreases and the silos effective rate increases. The fuzzy logic was applied in this work because it is very difficult to make the modeling using classical logic, when the variables are inaccurate as in the case discussed.","PeriodicalId":303392,"journal":{"name":"2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EAIS.2016.7502365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The control level in bins and effective rate of discharge is very complex as there are many dynamic variables such as time of discharge cycle, speed of feeders, physical characteristics and chemical composition of the ore. This work addresses two variables to apply fuzzy logic, which are: The level of material in the car dumper silos; The effective rate of discharge. The ideal discharge occurs when the desired yield is achieved and when the level of material in the varies within the range specified by the supplier. In this work we use the speed of rotation of feeder conveyor to control by the application of fuzzy logic. If the speed of feeder conveyor is low, the level increases in the silos and the effective rate decreases and whether the speed of feeder conveyor is high, the level decreases and the silos effective rate increases. The fuzzy logic was applied in this work because it is very difficult to make the modeling using classical logic, when the variables are inaccurate as in the case discussed.