{"title":"滑模补偿自适应模糊控制结构对电传动的鲁棒控制","authors":"K. Szabat, M. Kaminski, T. Orłowska-Kowalska","doi":"10.1109/EURCON.2007.4400684","DOIUrl":null,"url":null,"abstract":"In the paper a robust control system with the fuzzy adaptive controller and the additional compensator is presented. A model reference adaptive control system (MRAC) is applied to a drive system with changeable parameters. The speed controller is based on the neuro-fuzzy network. The additional compensator relaying on the sliding-mode theory is used to improve the dynamical characteristics of the drive system. The proposed control structure is investigated in simulation and experimental tests.","PeriodicalId":191423,"journal":{"name":"EUROCON 2007 - The International Conference on \"Computer as a Tool\"","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Robust Control of an Electrical Drive using Adaptive Fuzzy Logic Control Structure with Sliding-Mode Compensator\",\"authors\":\"K. Szabat, M. Kaminski, T. Orłowska-Kowalska\",\"doi\":\"10.1109/EURCON.2007.4400684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper a robust control system with the fuzzy adaptive controller and the additional compensator is presented. A model reference adaptive control system (MRAC) is applied to a drive system with changeable parameters. The speed controller is based on the neuro-fuzzy network. The additional compensator relaying on the sliding-mode theory is used to improve the dynamical characteristics of the drive system. The proposed control structure is investigated in simulation and experimental tests.\",\"PeriodicalId\":191423,\"journal\":{\"name\":\"EUROCON 2007 - The International Conference on \\\"Computer as a Tool\\\"\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EUROCON 2007 - The International Conference on \\\"Computer as a Tool\\\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURCON.2007.4400684\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EUROCON 2007 - The International Conference on \"Computer as a Tool\"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURCON.2007.4400684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust Control of an Electrical Drive using Adaptive Fuzzy Logic Control Structure with Sliding-Mode Compensator
In the paper a robust control system with the fuzzy adaptive controller and the additional compensator is presented. A model reference adaptive control system (MRAC) is applied to a drive system with changeable parameters. The speed controller is based on the neuro-fuzzy network. The additional compensator relaying on the sliding-mode theory is used to improve the dynamical characteristics of the drive system. The proposed control structure is investigated in simulation and experimental tests.
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