{"title":"基于神经模糊模型的焊缝熔合区几何控制","authors":"Y.M. Zhang, L. Li, R. Kovacevic","doi":"10.1109/ACC.1997.609225","DOIUrl":null,"url":null,"abstract":"A closed-loop system is developed to control the weld fusion which is specified by the top-side and back-side bead widths of the weld pool. The welding current and speed are selected as the control variables. It is found that a nonlinearity exists in the process being controlled. A neuro-fuzzy model is used to model this nonlinear dynamic process. Based on the dynamic fuzzy model, a predictive control system has been developed to control the welding process. Experiments confirmed that the developed control system is effective in achieving the desired fusion state despite the different disturbances.","PeriodicalId":363554,"journal":{"name":"Proceedings of the 1997 American Control Conference (Cat. No.97CH36041)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Neurofuzzy model based control of weld fusion zone geometry\",\"authors\":\"Y.M. Zhang, L. Li, R. Kovacevic\",\"doi\":\"10.1109/ACC.1997.609225\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A closed-loop system is developed to control the weld fusion which is specified by the top-side and back-side bead widths of the weld pool. The welding current and speed are selected as the control variables. It is found that a nonlinearity exists in the process being controlled. A neuro-fuzzy model is used to model this nonlinear dynamic process. Based on the dynamic fuzzy model, a predictive control system has been developed to control the welding process. Experiments confirmed that the developed control system is effective in achieving the desired fusion state despite the different disturbances.\",\"PeriodicalId\":363554,\"journal\":{\"name\":\"Proceedings of the 1997 American Control Conference (Cat. No.97CH36041)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1997 American Control Conference (Cat. No.97CH36041)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACC.1997.609225\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1997 American Control Conference (Cat. No.97CH36041)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.1997.609225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neurofuzzy model based control of weld fusion zone geometry
A closed-loop system is developed to control the weld fusion which is specified by the top-side and back-side bead widths of the weld pool. The welding current and speed are selected as the control variables. It is found that a nonlinearity exists in the process being controlled. A neuro-fuzzy model is used to model this nonlinear dynamic process. Based on the dynamic fuzzy model, a predictive control system has been developed to control the welding process. Experiments confirmed that the developed control system is effective in achieving the desired fusion state despite the different disturbances.
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