{"title":"Simulation and Application of Neural Network PID Auto-Tuning Controller in Servo-System","authors":"Qing-song Lin, Yu-fei Yao, Jun-xiao Wang","doi":"10.1109/DBTA.2010.5658973","DOIUrl":null,"url":null,"abstract":"It is difficult for the control system to get expected effect because of factors such as time-varying and non-linear. Considering the fact, a new algorithm is put forward, in which parameters of the PID control parameters are optimized by BP and RBF nets. By using MATLAB as the simulation tool, this new PID auto-tuning algorithm is simulated and researched. The simulation results show that this algorithm has enhanced response speed and robustness.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Workshop on Database Technology and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DBTA.2010.5658973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
It is difficult for the control system to get expected effect because of factors such as time-varying and non-linear. Considering the fact, a new algorithm is put forward, in which parameters of the PID control parameters are optimized by BP and RBF nets. By using MATLAB as the simulation tool, this new PID auto-tuning algorithm is simulated and researched. The simulation results show that this algorithm has enhanced response speed and robustness.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
