{"title":"半启发式过程-反应曲线PID控制器整定方法","authors":"Christer Dalen, D. D. Ruscio","doi":"10.4173/MIC.2018.1.4","DOIUrl":null,"url":null,"abstract":"A simple semi-heuristic method for designing PID controllers for time constant models are shown to be close to optimal. A Process-Reaction Curve method is proposed, composed by a method for approximating stable time constant models with an unstable DIPTD model, and relative time delay error δ -PID controller tuning. The Pareto-Optimal controller is used as reference.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"2673 1","pages":"37-43"},"PeriodicalIF":0.7000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Semi-Heuristic Process-Reaction Curve PID Controller Tuning Method\",\"authors\":\"Christer Dalen, D. D. Ruscio\",\"doi\":\"10.4173/MIC.2018.1.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A simple semi-heuristic method for designing PID controllers for time constant models are shown to be close to optimal. A Process-Reaction Curve method is proposed, composed by a method for approximating stable time constant models with an unstable DIPTD model, and relative time delay error δ -PID controller tuning. The Pareto-Optimal controller is used as reference.\",\"PeriodicalId\":49801,\"journal\":{\"name\":\"Modeling Identification and Control\",\"volume\":\"2673 1\",\"pages\":\"37-43\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Modeling Identification and Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.4173/MIC.2018.1.4\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modeling Identification and Control","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.4173/MIC.2018.1.4","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
A Semi-Heuristic Process-Reaction Curve PID Controller Tuning Method
A simple semi-heuristic method for designing PID controllers for time constant models are shown to be close to optimal. A Process-Reaction Curve method is proposed, composed by a method for approximating stable time constant models with an unstable DIPTD model, and relative time delay error δ -PID controller tuning. The Pareto-Optimal controller is used as reference.
期刊介绍:
The aim of MIC is to present Nordic research activities in the field of modeling, identification and control to the international scientific community. Historically, the articles published in MIC presented the results of research carried out in Norway, or sponsored primarily by a Norwegian institution. Since 2009 the journal also accepts papers from the other Nordic countries.