Adik S. Wardoyo, S. Hendi, D. Sebayang, I. Hidayat, A. Adriansyah
{"title":"An investigation on the application of fuzzy and PID algorithm in the two wheeled robot with self balancing system using microcontroller","authors":"Adik S. Wardoyo, S. Hendi, D. Sebayang, I. Hidayat, A. Adriansyah","doi":"10.1109/ICCAR.2015.7166003","DOIUrl":null,"url":null,"abstract":"The Fuzzy logic combined with PID control is designed to implement the effect of a disturbance force varying in magnitude, position, and duration to optimize the two wheeled and self-balancing robot. Matlab software was used to obtain Simulink-simulation of the experiment process. The simulation results shows that PID parameters that obtained from the use of auto-tuning is Kp = 16.60, Ki = 8.47, and Kd = 8.90. The simulation results of Fuzzy and PID combination shows that the error can be reduce approximately around 60 %. It is indicated that the Fuzzy logic with PID was better to reduce error in Two Wheeled and Self Balancing Robot than using Fuzzy logic.","PeriodicalId":422587,"journal":{"name":"2015 International Conference on Control, Automation and Robotics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Control, Automation and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAR.2015.7166003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
The Fuzzy logic combined with PID control is designed to implement the effect of a disturbance force varying in magnitude, position, and duration to optimize the two wheeled and self-balancing robot. Matlab software was used to obtain Simulink-simulation of the experiment process. The simulation results shows that PID parameters that obtained from the use of auto-tuning is Kp = 16.60, Ki = 8.47, and Kd = 8.90. The simulation results of Fuzzy and PID combination shows that the error can be reduce approximately around 60 %. It is indicated that the Fuzzy logic with PID was better to reduce error in Two Wheeled and Self Balancing Robot than using Fuzzy logic.