{"title":"旋转支架伺服定位系统的实现","authors":"W. Wong, Lu Feng, G. Guo, W. Ye, A. Al-Mamun","doi":"10.1109/IECON.2003.1280569","DOIUrl":null,"url":null,"abstract":"To achieve an ultra-high track density in magnetic recording systems, high precision and efficient servomechanism is needed to position the head on the desired track. In this paper, a multiple-frequency servo encoding and modified discrete Fourier transform (DFT)-based decoding scheme is used to detect the position error signal (PES) as the feedback signal for reader servo control on a spin stand. A personal computer (PC) is used to perform the DFT and generates the PES at 8 kHz speed. A modified PZT head cartridge base is used as the positioning device on the spin stand. A closed-loop bandwidth of 300 Hz has been achieved, resulting in an 18% improvement of the tracking accuracy.","PeriodicalId":403239,"journal":{"name":"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Implementation of a servo positioning system on spin stand\",\"authors\":\"W. Wong, Lu Feng, G. Guo, W. Ye, A. Al-Mamun\",\"doi\":\"10.1109/IECON.2003.1280569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To achieve an ultra-high track density in magnetic recording systems, high precision and efficient servomechanism is needed to position the head on the desired track. In this paper, a multiple-frequency servo encoding and modified discrete Fourier transform (DFT)-based decoding scheme is used to detect the position error signal (PES) as the feedback signal for reader servo control on a spin stand. A personal computer (PC) is used to perform the DFT and generates the PES at 8 kHz speed. A modified PZT head cartridge base is used as the positioning device on the spin stand. A closed-loop bandwidth of 300 Hz has been achieved, resulting in an 18% improvement of the tracking accuracy.\",\"PeriodicalId\":403239,\"journal\":{\"name\":\"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2003.1280569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2003.1280569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of a servo positioning system on spin stand
To achieve an ultra-high track density in magnetic recording systems, high precision and efficient servomechanism is needed to position the head on the desired track. In this paper, a multiple-frequency servo encoding and modified discrete Fourier transform (DFT)-based decoding scheme is used to detect the position error signal (PES) as the feedback signal for reader servo control on a spin stand. A personal computer (PC) is used to perform the DFT and generates the PES at 8 kHz speed. A modified PZT head cartridge base is used as the positioning device on the spin stand. A closed-loop bandwidth of 300 Hz has been achieved, resulting in an 18% improvement of the tracking accuracy.