{"title":"Damping of rotor oscillation for stepping motors using fuzzy reasoning","authors":"T. Senjyu, S. Nakahama, K. Uezato","doi":"10.1109/PEDS.1995.404974","DOIUrl":null,"url":null,"abstract":"Stepping motors are used as the driver for positioning in control systems. It is well-known that the transient response of stepping motors is generally oscillatory in the case of open-loop control. The rotor oscillation must be suppressed in quick positioning applications. In this paper, the suppression control of the rotor oscillation of VR (variable reluctance)-type stepping motors is studied. The suppression control is achieved by the inverse-phase excitation damping using fuzzy reasoning. The availability of the proposed control is shown by numerical simulations and experiments.<<ETX>>","PeriodicalId":244042,"journal":{"name":"Proceedings of 1995 International Conference on Power Electronics and Drive Systems. PEDS 95","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1995 International Conference on Power Electronics and Drive Systems. PEDS 95","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDS.1995.404974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Stepping motors are used as the driver for positioning in control systems. It is well-known that the transient response of stepping motors is generally oscillatory in the case of open-loop control. The rotor oscillation must be suppressed in quick positioning applications. In this paper, the suppression control of the rotor oscillation of VR (variable reluctance)-type stepping motors is studied. The suppression control is achieved by the inverse-phase excitation damping using fuzzy reasoning. The availability of the proposed control is shown by numerical simulations and experiments.<>