{"title":"基于模糊逻辑和单神经元的磁轴承控制数学模型","authors":"Zhenhe Wang, Shao Guo, Fuyuan Zhang","doi":"10.1109/APWCS.2010.101","DOIUrl":null,"url":null,"abstract":"This paper presents design and simulation of a controller which combines the fuzzy control with single neuron control in order to improve the dynamic performance and disturbance rejection ability. The proposed controller overcomes the defaults of the fuzzy logic control which has steady state error as well as the single neuron control which has unsatisfied dynamic performance. Simulation results demonstrate that the controller has improved not only the dynamic performance of AMB system but also the disturbance rejection ability.","PeriodicalId":354322,"journal":{"name":"2010 Asia-Pacific Conference on Wearable Computing Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Mathematical Model of Magnetic Bearing Control Based on Fuzzy Logic and Single Neuron\",\"authors\":\"Zhenhe Wang, Shao Guo, Fuyuan Zhang\",\"doi\":\"10.1109/APWCS.2010.101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents design and simulation of a controller which combines the fuzzy control with single neuron control in order to improve the dynamic performance and disturbance rejection ability. The proposed controller overcomes the defaults of the fuzzy logic control which has steady state error as well as the single neuron control which has unsatisfied dynamic performance. Simulation results demonstrate that the controller has improved not only the dynamic performance of AMB system but also the disturbance rejection ability.\",\"PeriodicalId\":354322,\"journal\":{\"name\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWCS.2010.101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Asia-Pacific Conference on Wearable Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWCS.2010.101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Mathematical Model of Magnetic Bearing Control Based on Fuzzy Logic and Single Neuron
This paper presents design and simulation of a controller which combines the fuzzy control with single neuron control in order to improve the dynamic performance and disturbance rejection ability. The proposed controller overcomes the defaults of the fuzzy logic control which has steady state error as well as the single neuron control which has unsatisfied dynamic performance. Simulation results demonstrate that the controller has improved not only the dynamic performance of AMB system but also the disturbance rejection ability.
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