{"title":"智能模型参考自适应控制在运动控制中的应用","authors":"Thomas J. Rehm, Peter B. Schmidt","doi":"10.1109/IAS.1995.530496","DOIUrl":null,"url":null,"abstract":"This paper describes work that was performed in the area of model reference adaptive control applied to a motion control example. The MIT rule was applied to estimating plant inertia. The inertia parameter allows feedforward and feedback gains to be optimally tuned. The command jerk, the second derivative of the velocity was utilized in forming the inertia estimate.","PeriodicalId":117576,"journal":{"name":"IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Intelligent model reference adaptive control applied to motion control\",\"authors\":\"Thomas J. Rehm, Peter B. Schmidt\",\"doi\":\"10.1109/IAS.1995.530496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes work that was performed in the area of model reference adaptive control applied to a motion control example. The MIT rule was applied to estimating plant inertia. The inertia parameter allows feedforward and feedback gains to be optimally tuned. The command jerk, the second derivative of the velocity was utilized in forming the inertia estimate.\",\"PeriodicalId\":117576,\"journal\":{\"name\":\"IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAS.1995.530496\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.1995.530496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent model reference adaptive control applied to motion control
This paper describes work that was performed in the area of model reference adaptive control applied to a motion control example. The MIT rule was applied to estimating plant inertia. The inertia parameter allows feedforward and feedback gains to be optimally tuned. The command jerk, the second derivative of the velocity was utilized in forming the inertia estimate.