{"title":"平滑定位系统的自适应控制器:分析与仿真","authors":"L. Dessaint, B. Hébert, H. Le-Huy","doi":"10.1109/IECON.1989.69642","DOIUrl":null,"url":null,"abstract":"The authors describe the implementation of a self-tuning regulator for the positioning of a direct-drive servo motor. The servo motor is a permanent magnet DC motor in which no gear reducer is used. The autotuning regulator consists of two major loops. The inner loop contains a feedback (proportional-derivative or proportional-integral-derivative) regulator with additional feedforward terms. The parameters of the regulator are adjusted by the outer loop, which contains an online parameter estimator. The estimated parameters are the load inertia and friction. This self-tuning regulator has been simulated with PC.MATLAB, and the results demonstrate the high performance of the scheme. The influence on the estimator of important factors such as noise, forgetting factor, and converter precision are evaluated.<<ETX>>","PeriodicalId":384081,"journal":{"name":"15th Annual Conference of IEEE Industrial Electronics Society","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An adaptive controller for a smooth positioning system: analysis and simulation\",\"authors\":\"L. Dessaint, B. Hébert, H. Le-Huy\",\"doi\":\"10.1109/IECON.1989.69642\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors describe the implementation of a self-tuning regulator for the positioning of a direct-drive servo motor. The servo motor is a permanent magnet DC motor in which no gear reducer is used. The autotuning regulator consists of two major loops. The inner loop contains a feedback (proportional-derivative or proportional-integral-derivative) regulator with additional feedforward terms. The parameters of the regulator are adjusted by the outer loop, which contains an online parameter estimator. The estimated parameters are the load inertia and friction. This self-tuning regulator has been simulated with PC.MATLAB, and the results demonstrate the high performance of the scheme. The influence on the estimator of important factors such as noise, forgetting factor, and converter precision are evaluated.<<ETX>>\",\"PeriodicalId\":384081,\"journal\":{\"name\":\"15th Annual Conference of IEEE Industrial Electronics Society\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"15th Annual Conference of IEEE Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.1989.69642\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th Annual Conference of IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1989.69642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An adaptive controller for a smooth positioning system: analysis and simulation
The authors describe the implementation of a self-tuning regulator for the positioning of a direct-drive servo motor. The servo motor is a permanent magnet DC motor in which no gear reducer is used. The autotuning regulator consists of two major loops. The inner loop contains a feedback (proportional-derivative or proportional-integral-derivative) regulator with additional feedforward terms. The parameters of the regulator are adjusted by the outer loop, which contains an online parameter estimator. The estimated parameters are the load inertia and friction. This self-tuning regulator has been simulated with PC.MATLAB, and the results demonstrate the high performance of the scheme. The influence on the estimator of important factors such as noise, forgetting factor, and converter precision are evaluated.<>
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