{"title":"基于时间模式傅里叶变换的神经网络自整定PID控制器","authors":"R. Swiniarski","doi":"10.1109/IECON.1990.149312","DOIUrl":null,"url":null,"abstract":"A neural autotuner for PID controllers that is relevant for real-time applications is presented. The neural autotuner, in an adaptive PID control scheme, processes temporal patterns (the responses of closed-loop relay feedback in the controlled system) in real time and produces updated parameters for the PID controller. Numerical experiments were carried out to test the training and generalization of the neutral autotuner with respect to different training sets, techniques of temporal signal presenting and processing and the influence of noise.<<ETX>>","PeriodicalId":253424,"journal":{"name":"[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Neural network based self-tuning PID controller with Fourier transformation of temporal patterns\",\"authors\":\"R. Swiniarski\",\"doi\":\"10.1109/IECON.1990.149312\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A neural autotuner for PID controllers that is relevant for real-time applications is presented. The neural autotuner, in an adaptive PID control scheme, processes temporal patterns (the responses of closed-loop relay feedback in the controlled system) in real time and produces updated parameters for the PID controller. Numerical experiments were carried out to test the training and generalization of the neutral autotuner with respect to different training sets, techniques of temporal signal presenting and processing and the influence of noise.<<ETX>>\",\"PeriodicalId\":253424,\"journal\":{\"name\":\"[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society\",\"volume\":\"148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.1990.149312\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1990.149312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural network based self-tuning PID controller with Fourier transformation of temporal patterns
A neural autotuner for PID controllers that is relevant for real-time applications is presented. The neural autotuner, in an adaptive PID control scheme, processes temporal patterns (the responses of closed-loop relay feedback in the controlled system) in real time and produces updated parameters for the PID controller. Numerical experiments were carried out to test the training and generalization of the neutral autotuner with respect to different training sets, techniques of temporal signal presenting and processing and the influence of noise.<>