{"title":"神经网络PID自整定控制器在伺服系统中的仿真与应用","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":"{\"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}","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}
Simulation and Application of Neural Network PID Auto-Tuning Controller in Servo-System
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.
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