{"title":"直流电机无模型与自适应控制的比较研究","authors":"Laid Sehili, Boukhezzar Boubekeur","doi":"10.1109/ICEE49691.2020.9249886","DOIUrl":null,"url":null,"abstract":"The present paper proposes the recent Model-free Control (MFC) approach applied to a position control scheme for a DC motor with uncertainties and unmodeled dynamics. This novel technique guarantees a fast algebraic online dynamics estimation for ultra-local model identification. It grants to keep out of complicated task of non-linear mathematical system modeling and leads to an explicit gain tuning. Comparisons are carried out between the proposed approach and the classical adaptive controller. Computer simulations have been verified using MATLAB/ Simulink.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Model-free and Adaptive Control of a DC Motor: A Comparative Study\",\"authors\":\"Laid Sehili, Boukhezzar Boubekeur\",\"doi\":\"10.1109/ICEE49691.2020.9249886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present paper proposes the recent Model-free Control (MFC) approach applied to a position control scheme for a DC motor with uncertainties and unmodeled dynamics. This novel technique guarantees a fast algebraic online dynamics estimation for ultra-local model identification. It grants to keep out of complicated task of non-linear mathematical system modeling and leads to an explicit gain tuning. Comparisons are carried out between the proposed approach and the classical adaptive controller. Computer simulations have been verified using MATLAB/ Simulink.\",\"PeriodicalId\":250276,\"journal\":{\"name\":\"2020 International Conference on Electrical Engineering (ICEE)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Electrical Engineering (ICEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEE49691.2020.9249886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Electrical Engineering (ICEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE49691.2020.9249886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model-free and Adaptive Control of a DC Motor: A Comparative Study
The present paper proposes the recent Model-free Control (MFC) approach applied to a position control scheme for a DC motor with uncertainties and unmodeled dynamics. This novel technique guarantees a fast algebraic online dynamics estimation for ultra-local model identification. It grants to keep out of complicated task of non-linear mathematical system modeling and leads to an explicit gain tuning. Comparisons are carried out between the proposed approach and the classical adaptive controller. Computer simulations have been verified using MATLAB/ Simulink.
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