Daniel Bonilla Blanco, Yoiner Picón González, Oscar Manuel Duque Suaréz, J. Vargas, Jorge Luis Diaz Rodriguez, Aldo Pardo García
{"title":"用于温度装置模糊自整定PID控制和FPD+I控制的GUI","authors":"Daniel Bonilla Blanco, Yoiner Picón González, Oscar Manuel Duque Suaréz, J. Vargas, Jorge Luis Diaz Rodriguez, Aldo Pardo García","doi":"10.1109/ColCACI59285.2023.10225874","DOIUrl":null,"url":null,"abstract":"This work deals with the development of a Graphical User Interface (GUI) for fuzzy logic self-tuning PID adjustment and FPD+I (Proportional-derivative fuzzy+integral) control. To appreciate the advantages and disadvantages of these controllers, the GUI also has classic control options, simulation graphs, comparative graphs, and control options for the temperature plant that consists of a flat heating resistance, an infrared sensor, a fan, and an Arduino micro in slave mode. Once the identification of the plant is carried out, the tuning of the different controllers is carried out, even with experimental improvements in some cases. After obtaining the Matlab GUI and drivers, it is verified that it works properly.","PeriodicalId":206196,"journal":{"name":"2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GUI for fuzzy logic self-tuning PID control and FPD+I control in a temperature plant\",\"authors\":\"Daniel Bonilla Blanco, Yoiner Picón González, Oscar Manuel Duque Suaréz, J. Vargas, Jorge Luis Diaz Rodriguez, Aldo Pardo García\",\"doi\":\"10.1109/ColCACI59285.2023.10225874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work deals with the development of a Graphical User Interface (GUI) for fuzzy logic self-tuning PID adjustment and FPD+I (Proportional-derivative fuzzy+integral) control. To appreciate the advantages and disadvantages of these controllers, the GUI also has classic control options, simulation graphs, comparative graphs, and control options for the temperature plant that consists of a flat heating resistance, an infrared sensor, a fan, and an Arduino micro in slave mode. Once the identification of the plant is carried out, the tuning of the different controllers is carried out, even with experimental improvements in some cases. After obtaining the Matlab GUI and drivers, it is verified that it works properly.\",\"PeriodicalId\":206196,\"journal\":{\"name\":\"2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ColCACI59285.2023.10225874\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ColCACI59285.2023.10225874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GUI for fuzzy logic self-tuning PID control and FPD+I control in a temperature plant
This work deals with the development of a Graphical User Interface (GUI) for fuzzy logic self-tuning PID adjustment and FPD+I (Proportional-derivative fuzzy+integral) control. To appreciate the advantages and disadvantages of these controllers, the GUI also has classic control options, simulation graphs, comparative graphs, and control options for the temperature plant that consists of a flat heating resistance, an infrared sensor, a fan, and an Arduino micro in slave mode. Once the identification of the plant is carried out, the tuning of the different controllers is carried out, even with experimental improvements in some cases. After obtaining the Matlab GUI and drivers, it is verified that it works properly.